HemiPhysioData vs SensorLog Utilisation & Stats

HemiPhysioData serves as an Apple Watch app designed to gather both raw and processed data from the watch's built-in sensors, such as the accelerometer and gyroscope. Its user-friendly interface allows users to effortlessly select different activities and preferences. The collected sensor data, along with additional specified values, is then neatly stored in a CSV file. These CSV files can be easily transferred to the user's iPhone for further processing and analysis. The app is specifically tailored for individuals seeking to collect movement data or Range of Motion (ROM) measurements, with the added benefit of utilizing the data for analytics and machine learning. Users have the flexibility to choose the activity type, movement type, sampling rate (samples per second), and indicate which wrist they wear the watch on, as well as whether it's their dominant or non-dominant side. Some details on screenshots: UID: Predefined twenty users (U01-U20) Activity: Movements (upper limb), Walking, Running, Misc Move Type: It corresponds to the selected activity Interval-Hertz: Samples per second (up to 100 samples per second) Dominant Side: Enable it when watch is on wrist of dominant arm Right Wrist: Enable it when watch is on right wrist Haptic-Feedback: When enabled, the user can set the ‘Starts In’ time and the logging ‘Duration'. The user gets the alert when the logging starts (when the starts-in time finishes) and ends (when the duration finishes). Use this option to log activity related data only. It saves from data cleaning later. Logged Files: Shows all saved CSV files on watch. The user can select a file to send to the iPhone or delete from watch. The following sensor data of the Apple Watch (WatchOS) is saved in the CSV file: - Device Motion Processed Data: roll, pitch, yaw, rotation rate x, rotation rate y, rotation rate z, gravity x, gravity y, gravity z, user acceleration x, user acceleration y, user acceleration z, quaternion x, quaternion y, quaternion z, quaternion z. -Accelerometer Raw Data: Acceleration x, y, and z
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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
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Comparaison des classements HemiPhysioData vs. SensorLog

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HemiPhysioData VS.
SensorLog

26écembre d, 2024