SensorLog vs WITMOTION

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

introduce: This App is a tool designed specifically for connecting tilt sensors and aims to provide users with convenient sensor data display and configuration functions. Whether you are a professional engineer or an ordinary user, you can easily use this App to monitor and control sensor performance. The following are the main functions and features of the App: 1. Sensor data display: This App can display the tilt sensor data instantly and accurately. Users can view real-time tilt angle, tilt direction and other related data. Whether you need simple tilt measurement or more complex data analysis, this App can meet your needs. 2. Sensor configuration: Users can configure the sensor through the App to meet specific needs. This includes adjusting sample rate, sensitivity, filter settings, etc. 3. Visual chart tools: The App provides visual tools such as curve charts and scatter plots to graphically display the changing trends of sensor data. This helps users understand the data more clearly. 4. 3D angle display: Visualizing tilt angle data in a 3D environment is a unique feature for users. This can be used for game development, virtual reality projects, or any application that requires real-time angle information. 5. User-friendly interface: The interface design of the App is simple and intuitive, making it easy to use. Users can quickly navigate and find the functionality they need, without requiring specialized knowledge. 6. Data recording and export: Users can record sensor data and export it as a file for future analysis or sharing.