Human Respiration Detection using Acoustic Signal

This project presents the design of an audio-based highly-accurate system for human respiration monitoring, leveraging on commodity speaker and microphone widely available in home environments.

Brain Activity Recognition using EEG Signal

In this project, we propose an approach to interpret EEG signals for multi-person and multi-class brain activity recognition.

Device-free Activity Recognition Leveraging on Internet of Things

In this work, we propose a system using low-cost RFID tags, which enables device-free, unobtrusive monitoring of elderly people by leveraging machine learning algorithms and the Internet of Things (IoT) technology.