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
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.
Open-source firmware for VR accessories. Build your own DIY haptic vest, gloves, and more!
A curated list of resources to see the big picture of XR
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.
GoFIT SDK for Android — GOLiFE 手環 App 介接 SDK
Build Wear OS apps with react-native and connect them with other apps.
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
CDroid is a android like GUI toolkit base on C++11,It is a cross-platform GUI engine for embedded system.Mybe an other choice of emwin ,touchgfx,awtk. it is more frientdly for android developers.
Performed various Deep Learning techniques to detect Human Activity using Sequential Data detect human activities generated by sensor-based wearable devices
Application to be run on an Android device to interact with the wearable devices & phone sensors for passive data streaming
Data collection framework for wearable sensors
E4 TimeStamper helps researchers to automatically add timestamps to physiological data derived from Empatica's E4 wristbands.
Add a description, image, and links to the wearable-devices topic page so that developers can more easily learn about it.
To associate your repository with the wearable-devices topic, visit your repo's landing page and select "manage topics."