Python API for Mentalab biosignal aquisition devices

Work With Data from Wearable Light Loggers and Optical Radiation Dosimeters

Python package for extraction, visualization, and analysis of physiological data collected through wearable sensors.

This repository presents the implementation of our collaborative project between UPenn/Orthopaedics, UDel/Physical Therapy, and CMU/Engineering on exercise prediction.

Analyze the influence of wearable-derived heart rate, activity and sleep on subjective wellbeing

The LOTUS Reader is a GUI primarily built to read and compile raw Empatica EmbracePlus data over user-defined periods of time. Fragmented 'chunks' of raw timeseries data output by Empatica (i.e., EDA, BVP, systolic peaks, temperature, accelerometer, and event tags) can be selectively reconstituted as continuous timeseries for further processing.

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.

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

Dashboard to display wearable data of Long COVID patients collected in the WATCH project.

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

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

Measure positive effects of vaccinations against COVID-19 in wearable sensor metrics

A Wearable Device for measuring, detecting and analyzing gait changes

ROS 2 package for "ZION" wearable system for exo-skeleton users - based on ZED stereo camera and Jetson Orin platform

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

A test project to explore smartwatch data simulation and human activity recognition

Firmware for Open Health Band

This was a part of the Community project which I worked along with 8 other peers from different branches in VIT Bhopal. The aims to assist the handicapped and needy in posture correction, object detection and path assistance.

An AI-based emotion classifier based on wearable sensors' data

Deep Learning models to fuse imu-based motion capture and first-person video data to improve the prediction of future knee and ankle joint kinematics, in complex real-world environments.