An open source AI wearable device that captures what you say and hear in the real world and then transcribes and stores it on your own server. You can then chat with Adeus using the app, and it will have all the right context about what you want to talk about - a truly personalized, personal AI.

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

Spying using Smartwatch and Deep Learning

A curated list of resources to see the big picture of XR

Open-source firmware for VR accessories. Build your own DIY haptic vest, gloves, and more!

A powerful ChatGPT and DALL-E app for all WearOS devices

Build Wear OS apps with react-native and connect them with other apps.

This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-Art", where we implement and evaluate several state-of-the-art approaches, ranging from handcrafted-based methods to convolutional neural networks.

Deep neural network trained to detect eye contact from facial image

Smart wearable device project

Experience OpenAI's GPT Model on your wrist with WearGPT.

Corpus of resources for multimodal machine learning with physiological signals (mmps).

GoFIT SDK for Android — GOLiFE 手環 App 介接 SDK

Consolidated repo for WearOS with NativeScript

Use health and fitness data collected from Samsung Galaxy Watch and blood pressure data from Omron to realize blood pressure prediction.

AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors

Application to be run on an Android device to interact with the wearable devices & phone sensors for passive data streaming

Performed various Deep Learning techniques to detect Human Activity using Sequential Data detect human activities generated by sensor-based wearable devices

Implementation of Contrastive Self-Supervised Learning for Sensor-based Human Activity Recognition

Code moved to https://github.com/robotology/human-dynamics-estimation