七麦数据

With SensorLog you can read sensor data from the iPhone, iPad and Apple Watch.

The sensor data can be saved as a file in CSV or JSON format, streamed via TCP/UDP or sent as an HTTP request.

The most important functions for iPhone and iPad:

- Sensor data can be recorded at up to 100Hz (depending on the iOS device version and sensor type).
- Sensor data can be streamed in server or client mode using TCP or UDP. Depending on the network speed and the server or client configuration used, this is possible with up to 100Hz.
- Via HTTP(S) GET/POST request, sensor data in JSON format (POST) or form-url encoded (POST and GET) can be transmitted to a REST API with up to 20Hz.
- With the SensorLog Remote Client/Server function, an iPad or iPhone can connect as a SensorLog Remote Client to an iPhone or iPad, which takes on the role of SensorLog Remote Server. The client's sensor data can be visualized on the server, and the server can control the clients (start/stop logging, start/stop sending data).
- Logging can be started and stopped using Siri and shortcuts.
- SensorLog supports Core ML models created with Apple's Create ML app. Log data with SensorLog, train a model with the data in Create ML, load exported models in SensorLog and log the model prediction. Supported Create ML models are: Activity Classifier, Tabular Regressor and Tabular Classifier.
- If you have an Apple Watch, HealthKit data such as heart rate, energy used, sleep and movement data can be exported on the watch as a csv or json file and then transferred to your iPhone.

Sensor data iPhone / iPad:
For sample log files, please visit the SensorLog homepage (link App Support).
- CLLocation, CLHeading, CMAccelerometer, CMGyroData, CMMagnetometer, CMDeviceMotion, CMActivity, CMPedometer, CMAltimeter, WLAN and network provider IP addresses, device orientation, battery info, decibels.


The most important functions for Apple Watch:

- Logging Option 1: Logging duration up to 1 hour
Simultaneous logging of all selectable sensor data is supported in the background with up to 50Hz. Individual sensors can be logged with a higher frequency of up to 100Hz. Sending data via HTTP requests is supported.
- Logging option 2: Logging duration greater than 1 hour
In the background only logging of the accelerometer data with max. 50Hz is supported. In the foreground all sensor data with up to 100Hz. Sending data via HTTP requests is only supported when the app is in the foreground.
- Via HTTP(S) GET/POST request, sensor data can be transmitted to a REST API with up to 10Hz in JSON format (POST) or form-url encoded (POST and GET).
- The Health Store data feature off the SensorLog Watch app allows you to export HealthKit data like heart rate, energy burned, sleep, and movement data. This data is automatically recorded by your Watch and can be read out and exported by SensorLog as csv or json file and transferred to your iPhone.
- Logging can be started and stopped using Siri and Shortcuts.

Sensor Data Watch:
For sample log files, please visit the SensorLog homepage (link App Support).
- CLLocation, CMAccelerometer, CMDeviceMotion, CMActivity, CMPedometer, CMAltimeter, battery info

With SensorLog you can read sensor data from the iPhone, iPad and Apple Watch.

The sensor data can be saved as a file in CSV or JSON format, streamed via TCP/UDP or sent as an HTTP request.

The most important functions for iPhone and iPad:

- Sensor data can be recorded at up to 100Hz (depending on the iOS device version and sensor type).
- Sensor data can be streamed in server or client mode using TCP or UDP. Depending on the network speed and the server or client configuration used, this is possible with up to 100Hz.
- Via HTTP(S) GET/POST request, sensor data in JSON format (POST) or form-url encoded (POST and GET) can be transmitted to a REST API with up to 20Hz.
- With the SensorLog Remote Client/Server function, an iPad or iPhone can connect as a SensorLog Remote Client to an iPhone or iPad, which takes on the role of SensorLog Remote Server. The client's sensor data can be visualized on the server, and the server can control the clients (start/stop logging, start/stop sending data).
- Logging can be started and stopped using Siri and shortcuts.
- SensorLog supports Core ML models created with Apple's Create ML app. Log data with SensorLog, train a model with the data in Create ML, load exported models in SensorLog and log the model prediction. Supported Create ML models are: Activity Classifier, Tabular Regressor and Tabular Classifier.
- If you have an Apple Watch, HealthKit data such as heart rate, energy used, sleep and movement data can be exported on the watch as a csv or json file and then transferred to your iPhone.

Sensor data iPhone / iPad:
For sample log files, please visit the SensorLog homepage (link App Support).
- CLLocation, CLHeading, CMAccelerometer, CMGyroData, CMMagnetometer, CMDeviceMotion, CMActivity, CMPedometer, CMAltimeter, WLAN and network provider IP addresses, device orientation, battery info, decibels.


The most important functions for Apple Watch:

- Logging Option 1: Logging duration up to 1 hour
Simultaneous logging of all selectable sensor data is supported in the background with up to 50Hz. Individual sensors can be logged with a higher frequency of up to 100Hz. Sending data via HTTP requests is supported.
- Logging option 2: Logging duration greater than 1 hour
In the background only logging of the accelerometer data with max. 50Hz is supported. In the foreground all sensor data with up to 100Hz. Sending data via HTTP requests is only supported when the app is in the foreground.
- Via HTTP(S) GET/POST request, sensor data can be transmitted to a REST API with up to 10Hz in JSON format (POST) or form-url encoded (POST and GET).
- The Health Store data feature off the SensorLog Watch app allows you to export HealthKit data like heart rate, energy burned, sleep, and movement data. This data is automatically recorded by your Watch and can be read out and exported by SensorLog as csv or json file and transferred to your iPhone.
- Logging can be started and stopped using Siri and Shortcuts.

Sensor Data Watch:
For sample log files, please visit the SensorLog homepage (link App Support).
- CLLocation, CMAccelerometer, CMDeviceMotion, CMActivity, CMPedometer, CMAltimeter, battery info

With SensorLog you can read sensor data from the iPhone, iPad and Apple Watch.

The sensor data can be saved as a file in CSV or JSON format, streamed via TCP/UDP or sent as an HTTP request.

The most important functions for iPhone and iPad:

- Sensor data can be recorded at up to 100Hz (depending on the iOS device version and sensor type).
- Sensor data can be streamed in server or client mode using TCP or UDP. Depending on the network speed and the server or client configuration used, this is possible with up to 100Hz.
- Via HTTP(S) GET/POST request, sensor data in JSON format (POST) or form-url encoded (POST and GET) can be transmitted to a REST API with up to 20Hz.
- With the SensorLog Remote Client/Server function, an iPad or iPhone can connect as a SensorLog Remote Client to an iPhone or iPad, which takes on the role of SensorLog Remote Server. The client's sensor data can be visualized on the server, and the server can control the clients (start/stop logging, start/stop sending data).
- Logging can be started and stopped using Siri and shortcuts.
- SensorLog supports Core ML models created with Apple's Create ML app. Log data with SensorLog, train a model with the data in Create ML, load exported models in SensorLog and log the model prediction. Supported Create ML models are: Activity Classifier, Tabular Regressor and Tabular Classifier.
- If you have an Apple Watch, HealthKit data such as heart rate, energy used, sleep and movement data can be exported on the watch as a csv or json file and then transferred to your iPhone.

Sensor data iPhone / iPad:
For sample log files, please visit the SensorLog homepage (link App Support).
- CLLocation, CLHeading, CMAccelerometer, CMGyroData, CMMagnetometer, CMDeviceMotion, CMActivity, CMPedometer, CMAltimeter, WLAN and network provider IP addresses, device orientation, battery info, decibels.


The most important functions for Apple Watch:

- Logging Option 1: Logging duration up to 1 hour
Simultaneous logging of all selectable sensor data is supported in the background with up to 50Hz. Individual sensors can be logged with a higher frequency of up to 100Hz. Sending data via HTTP requests is supported.
- Logging option 2: Logging duration greater than 1 hour
In the background only logging of the accelerometer data with max. 50Hz is supported. In the foreground all sensor data with up to 100Hz. Sending data via HTTP requests is only supported when the app is in the foreground.
- Via HTTP(S) GET/POST request, sensor data can be transmitted to a REST API with up to 10Hz in JSON format (POST) or form-url encoded (POST and GET).
- The Health Store data feature off the SensorLog Watch app allows you to export HealthKit data like heart rate, energy burned, sleep, and movement data. This data is automatically recorded by your Watch and can be read out and exported by SensorLog as csv or json file and transferred to your iPhone.
- Logging can be started and stopped using Siri and Shortcuts.

Sensor Data Watch:
For sample log files, please visit the SensorLog homepage (link App Support).
- CLLocation, CMAccelerometer, CMDeviceMotion, CMActivity, CMPedometer, CMAltimeter, battery info

With SensorLog you can read sensor data from the iPhone, iPad and Apple Watch.

The sensor data can be saved as a file in CSV or JSON format, streamed via TCP/UDP or sent as an HTTP request.

The most important functions for iPhone and iPad:

- Sensor data can be recorded at up to 100Hz (depending on the iOS device version and sensor type).
- Sensor data can be streamed in server or client mode using TCP or UDP. Depending on the network speed and the server or client configuration used, this is possible with up to 100Hz.
- Via HTTP(S) GET/POST request, sensor data in JSON format (POST) or form-url encoded (POST and GET) can be transmitted to a REST API with up to 20Hz.
- With the SensorLog Remote Client/Server function, an iPad or iPhone can connect as a SensorLog Remote Client to an iPhone or iPad, which takes on the role of SensorLog Remote Server. The client's sensor data can be visualized on the server, and the server can control the clients (start/stop logging, start/stop sending data).
- Logging can be started and stopped using Siri and shortcuts.
- SensorLog supports Core ML models created with Apple's Create ML app. Log data with SensorLog, train a model with the data in Create ML, load exported models in SensorLog and log the model prediction. Supported Create ML models are: Activity Classifier, Tabular Regressor and Tabular Classifier.
- If you have an Apple Watch, HealthKit data such as heart rate, energy used, sleep and movement data can be exported on the watch as a csv or json file and then transferred to your iPhone.

Sensor data iPhone / iPad:
For sample log files, please visit the SensorLog homepage (link App Support).
- CLLocation, CLHeading, CMAccelerometer, CMGyroData, CMMagnetometer, CMDeviceMotion, CMActivity, CMPedometer, CMAltimeter, WLAN and network provider IP addresses, device orientation, battery info, decibels.


The most important functions for Apple Watch:

- Logging Option 1: Logging duration up to 1 hour
Simultaneous logging of all selectable sensor data is supported in the background with up to 50Hz. Individual sensors can be logged with a higher frequency of up to 100Hz. Sending data via HTTP requests is supported.
- Logging option 2: Logging duration greater than 1 hour
In the background only logging of the accelerometer data with max. 50Hz is supported. In the foreground all sensor data with up to 100Hz. Sending data via HTTP requests is only supported when the app is in the foreground.
- Via HTTP(S) GET/POST request, sensor data can be transmitted to a REST API with up to 10Hz in JSON format (POST) or form-url encoded (POST and GET).
- The Health Store data feature off the SensorLog Watch app allows you to export HealthKit data like heart rate, energy burned, sleep, and movement data. This data is automatically recorded by your Watch and can be read out and exported by SensorLog as csv or json file and transferred to your iPhone.
- Logging can be started and stopped using Siri and Shortcuts.

Sensor Data Watch:
For sample log files, please visit the SensorLog homepage (link App Support).
- CLLocation, CMAccelerometer, CMDeviceMotion, CMActivity, CMPedometer, CMAltimeter, battery info

With SensorLog you can read sensor data from the iPhone, iPad and Apple Watch.

The sensor data can be saved as a file in CSV or JSON format, streamed via TCP/UDP or sent as an HTTP request.

The most important functions for iPhone and iPad:

- Sensor data can be recorded at up to 100Hz (depending on the iOS device version and sensor type).
- Sensor data can be streamed in server or client mode using TCP or UDP. Depending on the network speed and the server or client configuration used, this is possible with up to 100Hz.
- Via HTTP(S) GET/POST request, sensor data in JSON format (POST) or form-url encoded (POST and GET) can be transmitted to a REST API with up to 20Hz.
- With the SensorLog Remote Client/Server function, an iPad or iPhone can connect as a SensorLog Remote Client to an iPhone or iPad, which takes on the role of SensorLog Remote Server. The client's sensor data can be visualized on the server, and the server can control the clients (start/stop logging, start/stop sending data).
- Logging can be started and stopped using Siri and shortcuts.
- SensorLog supports Core ML models created with Apple's Create ML app. Log data with SensorLog, train a model with the data in Create ML, load exported models in SensorLog and log the model prediction. Supported Create ML models are: Activity Classifier, Tabular Regressor and Tabular Classifier.
- If you have an Apple Watch, HealthKit data such as heart rate, energy used, sleep and movement data can be exported on the watch as a csv or json file and then transferred to your iPhone.

Sensor data iPhone / iPad:
For sample log files, please visit the SensorLog homepage (link App Support).
- CLLocation, CLHeading, CMAccelerometer, CMGyroData, CMMagnetometer, CMDeviceMotion, CMActivity, CMPedometer, CMAltimeter, WLAN and network provider IP addresses, device orientation, battery info, decibels.


The most important functions for Apple Watch:

- Logging Option 1: Logging duration up to 1 hour
Simultaneous logging of all selectable sensor data is supported in the background with up to 50Hz. Individual sensors can be logged with a higher frequency of up to 100Hz. Streaming (only client mode, TCP) and HTTP requests are supported.
- Logging option 2: Logging duration greater than 1 hour
In the background only logging of the accelerometer data with max. 50Hz is supported. In the foreground all sensor data with up to 100Hz. Streaming and HTTP requests are only supported when the app is in the foreground.
- Depending on the network speed, the server configuration used and the selected logging option, streaming is possible at up to 100Hz. A connected iPhone with LAN/WAN connection is required.
- Via HTTP(S) GET/POST request, sensor data can be transmitted to a REST API with up to 10Hz in JSON format (POST) or form-url encoded (POST and GET).
- With the SensorLog Remote Client function, the sensor data can be sent to an iPhone or iPad with an activated SensorLog Remote Server function and visualized there. The connected SensorLog Remote Server can start and stop logging on the watch as request sending the sensor data.
- The Health Store data feature off the SensorLog Watch app allows you to export HealthKit data like heart rate, energy burned, sleep, and movement data. This data is automatically recorded by your Watch and can be read out and exported by SensorLog as csv or json file and transferred to your iPhone.
- Logging can be started and stopped using Siri and Shortcuts.

Sensor Data Watch:
For sample log files, please visit the SensorLog homepage (link App Support).
- CLLocation, CMAccelerometer, CMDeviceMotion, CMActivity, CMPedometer, CMAltimeter, battery info

With SensorLog you can read sensor data from the iPhone, iPad and Apple Watch.

The sensor data can be saved as a file in CSV or JSON format, streamed via TCP/UDP or sent as an HTTP request.

The most important functions for iPhone and iPad:

- Sensor data can be recorded at up to 100Hz (depending on the iOS device version and sensor type).
- Sensor data can be streamed in server or client mode using TCP or UDP. Depending on the network speed and the server or client configuration used, this is possible with up to 100Hz.
- Via HTTP(S) GET/POST request, sensor data in JSON format (POST) or form-url encoded (POST and GET) can be transmitted to a REST API with up to 20Hz.
- With the SensorLog Remote Client/Server function, an iPad or iPhone can connect as a SensorLog Remote Client to an iPhone or iPad, which takes on the role of SensorLog Remote Server. The client's sensor data can be visualized on the server, and the server can control the clients (start/stop logging, start/stop sending data).
- Logging can be started and stopped using Siri and shortcuts.
- SensorLog supports Core ML models created with Apple's Create ML app. Log data with SensorLog, train a model with the data in Create ML, load exported models in SensorLog and log the model prediction. Supported Create ML models are: Activity Classifier, Tabular Regressor and Tabular Classifier.

Sensor data iPhone / iPad:
For sample log files, please visit the SensorLog homepage (link App Support).
- CLLocation, CLHeading, CMAccelerometer, CMGyroData, CMMagnetometer, CMDeviceMotion, CMActivity, CMPedometer, CMAltimeter, WLAN and network provider IP addresses, device orientation, battery info, decibels.


The most important functions for Apple Watch:

- Logging Option 1: Logging duration up to 1 hour
Simultaneous logging of all selectable sensor data is supported in the background with up to 50Hz. Individual sensors can be logged with a higher frequency of up to 100Hz. Streaming (only client mode, TCP) and HTTP requests are supported.
- Logging option 2: Logging duration greater than 1 hour
In the background only logging of the accelerometer data with max. 50Hz is supported. In the foreground all sensor data with up to 100Hz. Streaming and HTTP requests are only supported when the app is in the foreground.
- Depending on the network speed, the server configuration used and the selected logging option, streaming is possible at up to 100Hz. A connected iPhone with LAN/WAN connection is required.
- Via HTTP(S) GET/POST request, sensor data can be transmitted to a REST API with up to 10Hz in JSON format (POST) or form-url encoded (POST and GET).
- With the SensorLog Remote Client function, the sensor data can be sent to an iPhone or iPad with an activated SensorLog Remote Server function and visualized there. The connected SensorLog Remote Server can start and stop logging on the watch as request sending the sensor data.
- Health Store data can be read out and saved.
- Logging can be started and stopped using Siri and Shortcuts.

Sensor Data Watch:
For sample log files, please visit the SensorLog homepage (link App Support).
- CLLocation, CMAccelerometer, CMDeviceMotion, CMActivity, CMPedometer, CMAltimeter, battery info

With SensorLog you can read sensor data from the iPhone, iPad and Apple Watch.

The sensor data can be saved as a file in CSV or JSON format, streamed via TCP/UDP or sent as an HTTP request.

The most important functions for iPhone and iPad:

- Sensor data can be recorded at up to 100Hz (depending on the iOS device version and sensor type).
- Sensor data can be streamed in server or client mode using TCP or UDP. Depending on the network speed and the server or client configuration used, this is possible with up to 100Hz.
- Via HTTP(S) GET/POST request, sensor data in JSON format (POST) or form-url encoded (POST and GET) can be transmitted to a REST API with up to 20Hz.
- With the SensorLog Remote Client/Server function, an iPad or iPhone can connect as a SensorLog Remote Client to an iPhone or iPad, which takes on the role of SensorLog Remote Server. The client's sensor data can be visualized on the server, and the server can control the clients (start/stop logging, start/stop sending data).
- Logging can be started and stopped using Siri and shortcuts.
- SensorLog supports Core ML models created with Apple's Create ML app. Log data with SensorLog, train a model with the data in Create ML, load exported models in SensorLog and log the model prediction. Supported Create ML models are: Activity Classifier, Tabular Regressor and Tabular Classifier.

Sensor data iPhone / iPad:
For sample log files, please visit the SensorLog homepage (link App Support).
- CLLocation, CLHeading, CMAccelerometer, CMGyroData, CMMagnetometer, CMDeviceMotion, CMActivity, CMPedometer, CMAltimeter, WLAN and network provider IP addresses, device orientation, battery info, decibels.


The most important functions for Apple Watch:

- Logging Option 1: Logging duration up to 1 hour
Simultaneous logging of all selectable sensor data is supported in the background with up to 50Hz. Individual sensors can be logged with a higher frequency of up to 100Hz. Streaming (only client mode, TCP) and HTTP requests are supported.
- Logging option 2: Logging duration greater than 1 hour
In the background only logging of the accelerometer data with max. 50Hz is supported. In the foreground all sensor data with up to 100Hz. Streaming and HTTP requests are only supported when the app is in the foreground.
- Depending on the network speed, the server configuration used and the selected logging option, streaming is possible at up to 100Hz. A connected iPhone with LAN/WAN connection is required.
- Via HTTP(S) GET/POST request, sensor data can be transmitted to a REST API with up to 10Hz in JSON format (POST) or form-url encoded (POST and GET).
- With the SensorLog Remote Client function, the sensor data can be sent to an iPhone or iPad with an activated SensorLog Remote Server function and visualized there. The connected SensorLog Remote Server can start and stop logging on the watch as request sending the sensor data.
- Health Store data can be read out and saved.
- Logging can be started and stopped using Siri and Shortcuts.

Sensor Data Watch:
For sample log files, please visit the SensorLog homepage (link App Support).
- CLLocation, CMAccelerometer, CMDeviceMotion, CMActivity, CMPedometer, CMAltimeter, battery info

With SensorLog you can read out sensor data of your iPhone, iPad and Apple Watch.

The sensor data (csv or JSON format) can be saved to file, streamed via TCP/UDP, or send as HTTP GET/POST request.

iPhone und iPad Logging:

- Sensor data can be sampled with up to 100Hz (depending on the version of your iOS device and fore or background mode).

- Sensor data can be streamed in server or client mode supporting TCP and UDP protocol. Streaming is supported up to 100Hz depending on the network speed and the receiving client or server configuration.

- Via HTTP(S) GET/POST request sensor data can be sent in JSON (POST) or form-url encoded (GET and POST) format to a REST API. Up to 20Hz upload rate is supported depending on the network speed and receiving server configuration.


Apple Watch Logging:

- Logging Option 1: Logging duration up to 1 hour
Supports logging of all selectable sensor data with up to 50Hz in background. Higher sampling rates up to 100 Hz are possible by selecting less sensors. Streaming (only client modus, TCP) and HTTP requests are supported.

- Logging Option 2: Logging duration greater 1 hour
While in background only logging of accelerometer data with up to 50Hz is supported. In foreground logging of all sensors with up to 100Hz is supported. Streaming and HTTP requests are only supported in foreground.

- Streaming is supported up to 100Hz depending on the network speed, the receiving server configuration, and chosen logging option. A coupled iPhone with LAN/WAN access is required

- Via HTTP(S) GET/POST request sensor data can be sent in JSON (POST) or form-url encoded (GET and POST) format to a REST API. Up to 10Hz upload rate is supported depending on the network speed and receiving server.

The following data of the iOS framework (iPhone, iPad) is provided by SensorLog (depending on the device version):
- CLLocation: latitude, longitude, altitude, speed, course, verticalAccuracy, horizontalAccuracy, floor (please note: this is not GPS raw data!)
- CLHeading: heading.x, heading.y, heading.z, trueHeading, magneticHeading, headingAccuracy
- CMAccelerometer: acceleration.x, acceleration.y, acceleration.z
- CMGyroData: rotationRate.x, rotationRate.y, rotationRate.z
- CMMagnetometerData: raw magneticField.x, magneticField.z, magneticField.z
- CMDeviceMotion: yaw, roll, pitch, rotationRate, userAcceleration, attitudeReferenceFrame, quaternions, gravity, magneticField, heading, magneticField.accuracy
- AVAudioRecorder: peakPower, averagePower (decibels)
- Core ML Model output (supported type int, double, string, dictionary)
- CMMotionActivity: Activity, activity.startDate, activity.confidence
- CMPedometer: numberOfSteps, startDate, distance, endDate, pedometerAverageActivePace, pedometerCurrentPace, pedometerCurrentCadence,
floorsAscended, floorsDescended
- CMAltimeter: relativeAltitude, pressure
- logging of WIFI and network carrier IP addresses
- logging of the device orientation
- logging of battery level
- labelling of the logged data

On the Apple Watch SensorLog supports logging of the following data:
- CLLocation: latitude, longitude, altitude, speed, course, verticalAccuracy, horizontalAccuracy, floor
- CMAccelerometer: acceleration.x, acceleration.y, acceleration.z
- CMDeviceMotion: yaw, roll, pitch, rotationRate, userAcceleration, attitudeReferenceFrame, quaternions, gravity, magneticField, heading, magneticField.accuracy
- CMMotionActivity: Activity, activity.startDate, activity.confidence
- CMPedometer: numberOfSteps, startDate, distance, endDate, floorsAscended, floorsDescended
- CMAltimeter: relativeAltitude, pressure
- Battery information

Machine Learning:
SensorLog supports Core ML models created with Apple's Create ML app. Simply log data with SensorLog, train a model on the data in Create ML, load the exported model in SensorLog, and log its prediction with SensorLog. Supported Create ML models are: Activity Classifier, Tabular Regressor, and Tabular Classifier.

With SensorLog you can read out sensor data of your iPhone, iPad and Apple Watch.

The sensor data (csv or JSON format) can be saved to file, streamed via TCP/UDP, or send as HTTP GET/POST request.

iPhone und iPad Logging:

- Sensor data can be sampled with up to 100Hz (depending on the version of your iOS device and fore or background mode).

- Sensor data can be streamed in server or client mode supporting TCP and UDP protocol. Streaming is supported up to 100Hz depending on the network speed and the receiving client or server configuration.

- Via HTTP(S) GET/POST request sensor data can be sent in JSON (POST) or form-url encoded (GET and POST) format to a REST API. Up to 20Hz upload rate is supported depending on the network speed and receiving server configuration.


Apple Watch Logging:

- Logging Option 1: Logging duration up to 1 hour
Supports logging of all selectable sensor data with up to 50Hz in background. Higher sampling rates up to 100 Hz are possible by selecting less sensors. Streaming (only client modus, TCP) and HTTP requests are supported.

- Logging Option 2: Logging duration greater 1 hour
While in background only logging of accelerometer data with up to 50Hz is supported. In foreground logging of all sensors with up to 100Hz is supported. Streaming and HTTP requests are only supported in foreground.

- Streaming is supported up to 100Hz depending on the network speed, the receiving server configuration, and chosen logging option. A coupled iPhone with LAN/WAN access is required

- Via HTTP(S) GET/POST request sensor data can be sent in JSON (POST) or form-url encoded (GET and POST) format to a REST API. Up to 10Hz upload rate is supported depending on the network speed and receiving server.

The following data of the iOS framework (iPhone, iPad) is provided by SensorLog (depending on the device version):
- CLLocation: latitude, longitude, altitude, speed, course, verticalAccuracy, horizontalAccuracy, floor (please note: this is not GPS raw data!)
- CLHeading: heading.x, heading.y, heading.z, trueHeading, magneticHeading, headingAccuracy
- CMAccelerometer: acceleration.x, acceleration.y, acceleration.z
- CMGyroData: rotationRate.x, rotationRate.y, rotationRate.z
- CMMagnetometerData: raw magneticField.x, magneticField.z, magneticField.z
- CMDeviceMotion: yaw, roll, pitch, rotationRate, userAcceleration, attitudeReferenceFrame, quaternions, gravity, magneticField, heading, magneticField.accuracy
- AVAudioRecorder: peakPower, averagePower (decibels)
- Core ML Model output (supported type int, double, string, dictionary)
- CMMotionActivity: Activity, activity.startDate, activity.confidence
- CMPedometer: numberOfSteps, startDate, distance, endDate, pedometerAverageActivePace, pedometerCurrentPace, pedometerCurrentCadence,
floorsAscended, floorsDescended
- CMAltimeter: relativeAltitude, pressure
- logging of WIFI and network carrier IP addresses
- logging of the device orientation
- logging of battery level
- labelling of the logged data

On the Apple Watch SensorLog supports logging of the following data:
- CLLocation: latitude, longitude, altitude, speed, course, verticalAccuracy, horizontalAccuracy, floor
- CMAccelerometer: acceleration.x, acceleration.y, acceleration.z
- CMDeviceMotion: yaw, roll, pitch, rotationRate, userAcceleration, attitudeReferenceFrame, quaternions, gravity, magneticField, heading, magneticField.accuracy
- CMMotionActivity: Activity, activity.startDate, activity.confidence
- CMPedometer: numberOfSteps, startDate, distance, endDate, floorsAscended, floorsDescended
- CMAltimeter: relativeAltitude, pressure
- Battery information

Machine Learning:
SensorLog supports Core ML models created with Apple's Create ML app. Simply log data with SensorLog, train a model on the data in Create ML, load the exported model in SensorLog, and log its prediction with SensorLog. Supported Create ML models are: Activity Classifier, Tabular Regressor, and Tabular Classifier.

With SensorLog you can read out sensor data of your iPhone, iPad and Apple Watch.

The sensor data (csv or JSON format) can be saved to file, streamed via TCP/UDP, or send as HTTP GET/POST request.

iPhone und iPad Logging:

- Sensor data can be sampled with up to 100Hz (depending on the version of your iOS device and fore or background mode).

- Sensor data can be streamed in server or client mode supporting TCP and UDP protocol. Streaming is supported up to 100Hz depending on the network speed and the receiving client or server configuration.

- Via HTTP(S) GET/POST request sensor data can be sent in JSON (POST) or form-url encoded (GET and POST) format to a REST API. Up to 20Hz upload rate is supported depending on the network speed and receiving server configuration.


Apple Watch Logging:

- Logging Option 1: Logging duration up to 1 hour
Supports logging of all selectable sensor data with up to 50Hz in background. Higher sampling rates up to 100 Hz are possible by selecting less sensors. Streaming (only client modus, TCP) and HTTP requests are supported.

- Logging Option 2: Logging duration greater 1 hour
While in background only logging of accelerometer data with up to 50Hz is supported. In foreground logging of all sensors with up to 100Hz is supported. Streaming and HTTP requests are only supported in foreground.

- Streaming is supported up to 100Hz depending on the network speed, the receiving server configuration, and chosen logging option. A coupled iPhone with LAN/WAN access is required

- Via HTTP(S) GET/POST request sensor data can be sent in JSON (POST) or form-url encoded (GET and POST) format to a REST API. Up to 10Hz upload rate is supported depending on the network speed and receiving server.

The following data of the iOS framework (iPhone, iPad) is provided by SensorLog (depending on the device version):
- CLLocation: latitude, longitude, altitude, speed, course, verticalAccuracy, horizontalAccuracy, floor (please note: this is not GPS raw data!)
- CLHeading: heading.x, heading.y, heading.z, trueHeading, magneticHeading, headingAccuracy
- CMAccelerometer: acceleration.x, acceleration.y, acceleration.z
- CMGyroData: rotationRate.x, rotationRate.y, rotationRate.z
- CMMagnetometerData: raw magneticField.x, magneticField.z, magneticField.z
- CMDeviceMotion: yaw, roll, pitch, rotationRate, userAcceleration, attitudeReferenceFrame, quaternions, gravity, magneticField, heading, magneticField.accuracy
- AVAudioRecorder: peakPower, averagePower (decibels)
- Core ML Model output (supported type int, double, string, dictionary)
- CMMotionActivity: Activity, activity.startDate, activity.confidence
- CMPedometer: numberOfSteps, startDate, distance, endDate, pedometerAverageActivePace, pedometerCurrentPace, pedometerCurrentCadence,
floorsAscended, floorsDescended
- CMAltimeter: relativeAltitude, pressure
- logging of WIFI and network carrier IP addresses
- logging of the device orientation
- logging of battery level
- labelling of the logged data

On the Apple Watch SensorLog supports logging of the following data:
- CLLocation: latitude, longitude, altitude, speed, course, verticalAccuracy, horizontalAccuracy, floor
- CMAccelerometer: acceleration.x, acceleration.y, acceleration.z
- CMDeviceMotion: yaw, roll, pitch, rotationRate, userAcceleration, attitudeReferenceFrame, quaternions, gravity, magneticField, heading, magneticField.accuracy
- CMMotionActivity: Activity, activity.startDate, activity.confidence
- CMPedometer: numberOfSteps, startDate, distance, endDate, floorsAscended, floorsDescended
- CMAltimeter: relativeAltitude, pressure
- Battery information

Machine Learning:
SensorLog supports Core ML models created with Apple's Create ML app. Simply log data with SensorLog, train a model on the data in Create ML, load the exported model in SensorLog, and log its prediction with SensorLog. Supported Create ML models are: Activity Classifier, Tabular Regressor, and Tabular Classifier.