Spying using Smartwatch and Deep Learning
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Updated
May 27, 2017 - Python
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.
Deep neural network trained to detect eye contact from facial image
Smart wearable device project
AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors
Implementation of Contrastive Self-Supervised Learning for Sensor-based Human Activity Recognition
This repository is a new wearable biosensors package for ROS2-Foxy. The ultimate goal of this repo is to expand the biosensors ecosystem in the Human-Robot Interaction (HRI) field. The package currently supports six wearable biosensors that can be used in HRI researches without behavioral constraints caused by limited hardware specifications (e.…
Tasrif is a python library for processing of wearable data from fitness trackers and wearable health devices
Enhancing Efficiency in Multidevice Federated Learning through Data Selection
Sequential decision fusion for environmental classification in assistive walking
A small web app which shows that how wrist wearable data such as heart rate, moods and emotions can be visualized.
A python package for working with activPAL3 activity monitor data
Python package for extraction, visualization, and analysis of physiological data collected through wearable sensors.
🏥 Quantification of Parkinsonian and Essential Tremor using a novel, bluetooth-integrated accelerometer based system
Deep learning scripts used to accurately predict human-robot system dynamics for future prosthesis control methods
Two fast algorithms in python to extract heart rate data from blood flow volume signals. One algorithm in MATLAB to smooth the signal and remove the noise caused by people's irregular motion.
Directional PointNet: 3D Environmental Classification for Wearable Robots
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.
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