This repository supplyies the basic concept of human body capacitance sening and the hardware platform, the firmware, the collected datasets from experiments that combines HBC sensing and IMU sensing for human activity recognition, and the used machine learning algorithms for human activity classification.

The hardware combines IMU and HBC sensing modality on a cutomised board, with ESP32 as the controller, and a 3.7V battery as the power source.

The schematic and geber files can be found in the Hardware directory. PCB/Prototype can be manufactured directly.

11 gym exercises: Adductor, Armcurl, Benchpress, Legcurl, Legpress, Riding, Ropeskipping, Running, Squat, Stairsclimber and Walking

A TV-Wall assembling and disassembling activity including both collaborative and non-collaborative activities.

Gym Exercise classification result with sensing units on different body locations(pocket, leg, and wrist).

TV-Wall building activities classification result with different configuration of sensing modalities.

1, The Contribution of Human Body Capacitance/Body-Area Electric Field To Individual and Collaborative Activity Recognition

Available at: https://arxiv.org/abs/2210.14794

Share and cite:

@article{bian2022contribution, title={The Contribution of Human Body Capacitance/Body-Area Electric Field To Individual and Collaborative Activity Recognition}, author={Bian, Sizhen and Rey, Vitor Fortes and Yuan, Siyu and Lukowicz, Paul}, journal={arXiv preprint arXiv:2210.14794}, year={2022} }