Auritus: An Open-Source Optimization Toolkit for Training and Development of Human Movement Models and Filters Using Earables
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Updated
Oct 13, 2023 - C++
Auritus: An Open-Source Optimization Toolkit for Training and Development of Human Movement Models and Filters Using Earables
Human Activity Recognition using wearable sensors. Project @ National University Of Singapore.
Activity Recognition using Temporal Optical Flow Convolutional Features and Multi-Layer LSTM
Human activity recognition using Machine Learning and using the trained model with an actual device (for prototype I am using nodeMCU here wih GY87 sensor).
This project is a part of our work, "Dynamic Vision Sensors for Human Activity Recognition" accepted at the IEEE 4th IAPR Asian Conference on Pattern Recognition (ACPR), 2017
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