Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Motion Sense | 189 | 3 years ago | 2 | mit | Jupyter Notebook | |||||
MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope) (PMC Journal) (IoTDI'19) | ||||||||||
Videosensors | 93 | 7 years ago | 2 | Java | ||||||
Android application that records video and motion data from an android smartphone simultaneously. | ||||||||||
Smartphone Sensor Data Collection Application | 34 | 10 years ago | Java | |||||||
Android application for internal and external sensor reading over WiFi using the USB host feature and a connected device | ||||||||||
Touchless Map | 23 | 8 years ago | 2 | JavaScript | ||||||
Experimental smartphone app for touchless map control (zoom&move via accelerometer) | ||||||||||
D3 Smartphone Walking | 14 | 10 years ago | JavaScript | |||||||
Vehicaldiagnosticalgo | 7 | a year ago | 9 | Jupyter Notebook | ||||||
Vehical Diagnostic - Low Cost Hardware and Open Source Algorithm using Mobile Phone Sensor Data, ODB2 Vehicle Data, Camera Information | ||||||||||
Teleguide | 7 | 2 years ago | Kotlin | |||||||
PWA and Android Wear OS app to remote control LEGO Power Functions via BLE with your smartphone or smartwatch | ||||||||||
Eth_dream_pd_subchallenge1 | 6 | 6 years ago | other | Python | ||||||
🚶📱 A deep-learning approach to automatically extract digital biomarkers for Parkinson's disease from smartphone accelerometers. | ||||||||||
Dabble | 6 | 5 years ago | 2 | lgpl-3.0 | C++ | |||||
Arduino Library for Dabble app, which includes virtual shields for robot control, sensors, camera, IoT and much more. Compatible with Bluetooth modules like HC-05, HC-06, HM-10, and ESP32 (BLE or Bluetooth 2.0 or 4.0) | ||||||||||
Humanactivityrecognition | 6 | 8 years ago | Python | |||||||
Human Activity Recognition based on Smartphone Accelerometer data |