Project-gestures

Hand Gesture Recognition

This project presents an in-air writing gesture recognition system using a wrist-worn device.

Finger Gesture Recognition with PPG Sensor on Smartwatch

In this project, we present a novel gesture input technique for off-the-shelf smartwatches.

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.

Detecting Transportation Activities using Contact Vibration Sensor

In this project, we present the design of SpiderWalk on smartphones to detect transportation activity.

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.

Human Respiration Detection using Wi-Fi Signals

This project presents a system to detect human respiration using Wi-Fi devices.

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.

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.

Complex Activity Recognition using Wearable Sensors

This paper aims to improve the energy efficiency of LoRa by enabling LoRa nodes to operate in a downclocked 'light sleep' mode for packet reception.

Multi-user Activity Recognition using Wearable Sensors

This project aims to investigate the fundamental problem of recognizing activities of multiple users using wearable sensors in a home environment.