Device-free Activity Recognition Leveraging on Internet of Things

Significant growth in the aging population presents many challenges, which calls an urgent need to develop innovative technologies that help the elderly live independently and safely in their own homes. 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. We propose several machine learning algorithms to enable device-free localization and activity recognition by learning RSSI of RFID tags.

This work appears in ICDM 2015.

Tao Gu (顾涛)
Tao Gu (顾涛)
Distinguished Professor (特聘教授)
IEEE Fellow
AAIA Fellow
AAIS Fellow
School of Computer Sicence, Shanghai Jiao Tong University

Address: Room 437, Building 3, SEIEE No. 800 Dongchuan Road Minhang District, Shanghai, China

地址: 上海交通大学计算机学院‌ 上海市闵行区东川路800号电院3号楼437室‌

Email: FirstName.LastName AT sjtu.edu.cn

My research interests include Internet of Things, Ubiquitous Computing, Mobile Computing, Embedded AI, Wireless Sensor Networks, and Big Data Analytics.