This research theme creates new smart connected IoT systems for health assessment and assistance. The purpose of this research is to connect Data, People and Systems in a variety of areas of value to health, such as networking, pervasive computing, advanced analytics, sensor integration, privacy and security, modeling of socio-behavioral and cognitive processes and system and process modeling. Effective solutions must satisfy a multitude of constraints arising from clinical/medical needs, barriers to change, heterogeneity of data, semantic mismatch and limitations of current cyber-physical systems and an aging population. Such solutions demand multidisciplinary teams to address issues ranging from fundamental science and engineering to medical and public health practice.
Floor activity tracking
- Smart seismic sensors in the floor of each room allow activity tracking, or in the mattress allow sleep monitoring.
- Identify family members and track activities
- Fall detection and alarm
- Monitor and assess health changes
- Two feet differ and have an unbalance
- Walking behavior changes
- Trajectory tracking. Experiments conducted at the sensorweb lab.
Contact-free sleep monitoring
A smart sensor is designed to monitor the heart and respiratory rates, and body movement and posture, during the sleep. See details at Home Dots.
Smart Phone Assistive Technology
- A smartphone can sense various body parameters via audio, vibration, and camera
- Smartphone monitoring systems for recognizing cough
Faculty / Postdoctoral Associates / Students
- WenZhan Song
- Fangyu Li
- Jose Clemente
- Maria Valero
- Zhiwei Luo
- Sili Wang
Fangyu Li; Jose Clemente; Maria Valero; Zion Tse; Sheng Li; WenZhan Song Smart Home Monitoring System via Footstep Induced Vibrations Journal Article IEEE Systems Journal, 2019.
Jose Clemente; Fangyu Li; Maria Valero; WenZhan Song; Smart Seismic Sensing for Indoor Fall Detection, Location and Notification. IEEE Journal of Biomedical and Health Informatics, 2019
Fangyu Li; WenZhan Song; Changwei Li; Aiying Yang; Non-Harmonic Analysis based Instantaneous Heart Rate Estimation from Photoplethysmography. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2019
Fangyu Li; Jose Clemente; WenZhan Song; Non-intrusive and Non-contact Sleep Monitoring with Seismometer. IEEE GlobalSIP. 2018
Chengliang Wang; Yayun Peng; Debraj De; Wen-Zhan Song. DPHK Real-Time Distributed Predicted Data Collecting based on activity pattern Knowledge mined from trajectories in Smart Environment. Frontiers of Computer Science, 2015.
Chengliang Wang; Qian Zheng; Yayun Peng; Debraj De; Wen-Zhan Song. Distributed Abnormal Activity Detection in Smart Environments. Special issue on “Smart Learning with Sensor Network Technologies”, International Journal of Distributed Sensor Networks, Hindawi Publishing Corporation, 2014.
Chengliang Wang; Debraj De; Wen-Zhan Song. Trajectory Mining from Anonymous Binary Motion Sensors in Smart Environment. Elsevier Journal of Knowledge-Based Systems (KnoSys), 2012.
Debraj De; Wen-Zhan Song; Mingsen Xu; Cheng-Liang Wang; Diane Cook; Xiaoming Huo. FindingHuMo: Real-Time Tracking of Motion Trajectories from Anonymous Binary Sensing in Smart Environments. The 32nd International Conference on Distributed Computing Systems (ICDCS12), 2012.
Debraj De; Shaojie Tang; Wen-Zhan Song; Diane Cook; Sajal K Das. ActiSen: Activity-aware Sensor Network in Smart Environments. Journal of Pervasive and Mobile Computing (PMC), 2012.
Debraj De; Wen-Zhan Song; Shaojie Tang; Diane Cook. EAR: An Energy and Activity Aware Routing Protocol for Wireless Sensor Networks in Smart Environments. The Computer Journal, 2012.
Diane Cook; Wen-Zhan Song. Ambient intelligence and wearable computing: Sensors on the body, in the home, and beyond. Journal of Ambient Intelligence and Smart Environments (JAISE), 1 (2), 2009.
Shao-Jie Tang; Debraj De; Wen-Zhan Song; Diane Cook; Sajal Das. ActSee: Activity-Aware Radio Duty-Cycling for Sensor Networks in Smart Environments. The 8th IEEE International Conference on Networked Sensing Systems (IEEE INSS), 2011.