Wearable Sensor based Human Activity Recognition with Recurrent Neural Networks.
Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors
[ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"
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.
Human Activity Recognition using wearable sensors. Project @ National University Of Singapore.
Open Source Wearable Microphone Array Glasses for Multi-Speaker Speech Recognition
Arm mounted computer, which includes detection for bio signatures, accleration, gyroscope(Orientaion to Gravity well), and uploads to master control server.
A sunhat that senses/measures the UV and calculates when it is time to put on more sunscreen.
More to Less (M2L): Enhanced Health Recognition in the Wild with Reduced Modality of Wearable Sensors
Recognition of Multi-Level Human Activities by Implementing an "Activity Recognition Chain" in a Benchmark Dataset. (2018)
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…
This project presents an innovative approach to how static hand gestures can be classified with wrist-worn barometric pressure sensors.
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
App that connects to Heartsock servers to send heartrate information from a Wear OS watch
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.
An AI-based emotion classifier based on wearable sensors' data
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.
Firmware for Open Health Band
A test project to explore smartwatch data simulation and human activity recognition
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