mobgap

Android OBD diagnostics with any ELM327 adapter

Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)

Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the user’s pocket. The activities to be classified are: Standing, Sitting, Stairsup, StairsDown, Walking and Cycling.

A ROS wrapper for the MaRS Library

使用卷积神经网络在STM32F401C-DISCO上实现人体活动识别

Intelligent Vehicle Perception Based on Inertial Sensing and Artificial Intelligence

An IoT project. Tested & implemented in Rome, Italy. Complete Pothole detector prototype. The device detects potholes on roads and send GPS position/date&time payload to remote server utilizing Nucleo STM32F401RE, X-NUCLEO-IKS01A2, Seeduino LoRaWAN

Go SDK for Xsens MTi Inertial Measurement Units (IMUs).

Nemeus Library for Arduino (Smart IoT Sensor Architecture)