Open Source smart glasses designed to be 1. All day wearable 2. Immediately useful 3. Extendable for makers, startups, and everyone else.

An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based on IMU data.

[ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"

Python API for Mentalab biosignal aquisition devices

Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors

Open Source Wearable Microphone Array Glasses for Multi-Speaker Speech Recognition

Work With Data from Wearable Light Loggers and Optical Radiation Dosimeters

More to Less (M2L): Enhanced Health Recognition in the Wild with Reduced Modality of Wearable Sensors

App that connects to Heartsock servers to send heartrate information from a Wear OS watch

Insurance Recommendation System is to suggest best insurance to the users based on thier health. Every user is given a health score based on his/her vitals; of which data is measured by the the wearables data. Wearables data such as Cardiopulmonary and Vascular data and Glucose level. So basically suggesting the best insurance policy based on th…

Arm mounted computer, which includes detection for bio signatures, accleration, gyroscope(Orientaion to Gravity well), and uploads to master control server.

A Wearable Device for measuring, detecting and analyzing gait changes

Firmware for Open Health Band

WebSocket server for Heartsock, a simple relay for heart rate monitoring from Wear OS watches

This project is the works done during my research internship at Advance Communication Lab, B N M Institute of Technology, India. The aim of the project is to design and fabricate a very efficient, highly sensitive and low-cost micro-strip patch antenna with an etched customized logo which is tailored to perform the intended application of remotely

The W4H Integrated Toolkit Repository provides a unified platform for managing, analyzing, and visualizing wearable health data using a suite of open-source tools and frameworks.

D-Stress: Coded by Edmond Niu, Kelvin Bian, Amanda Lau. Code for wearable, dehydration, galvanic skin response (GSR) sensor measuring electrodermal activity. Utilized Arduino, Firebase, and Python flask script to form a connection between sensor, database, and custom-built website.

Wearable Sensor based Human Activity Recognition with Recurrent Neural Networks.

Use python to extract and model your whoop data; you might just unlock a new level

[IJCAI 2024] Official TensorFlow implementation of "Wearable Sensor-Based Few-Shot Continual Learning on Hand Gestures for Motor-Impaired Individuals via Latent Embedding Exploitation".