Qu Tang, S.M., is a sixth year Ph.D. student in the Department of Electrical and Computer Engineering at Northeastern University, Boston, USA. His research focuses on the development of mobile health systems that integrate ideas from ubiquitous computing, machine learning, exercise science, and algorithms. Areas of special interest include algorithms for automated recognition of human behaviors using wearable sensors, and mobile technologies for measuring longitudinal human behaviors via biomarkers (e.g., motion, heart rate, etc).
Mr. Tang received his S.M. from Northeastern University in 2013 working on developing activity recognition algorithms at mHealth Research Group, and a B.S.E. degree in Electrical Engineering from the University of Electronic Science and Technology of China (UESTC) in 2010. He has published research on activity recognition, physical behavior measurement using accelerometers, and real-time system for measuring human behaviors. Mr. Tang has been serving as a reviewer for conferences and journals including IMWUT, Sensors, and JMIR.
Some research projects
💹 MIMS-unit algorithm
An open source and device-agnostic summarization algorithm for wearable accelerometer data
🚬 Smoking detection
Hierarchical recognition model for puffing and smoking detection with wrist accelerometers
🚶 Posture and activity detection
Best comibinations of body locations to detect posture and physical activities with wearable accelerometers
😄 Stereotypical movement detection
Intensively validated recognition model for stereotypical motion detection in Autism kids
📔 mHealth specification
Documentation of a human readable, compact data storage specification for mobile health data
Software projects
📈 Accelerometer and annotation visualizer
Synchronized, zoomable visualizer for multiple data streams, annotations
⛓ Arus
Python package to efficiently process and stream accelerometer data, and to build activity recognition models.
⏲ Real-time activity recognition app
A web app (with a REST API server backed by Python) to connect multiple Bluetooth wearable sensors, display real-time activity recognition predictions, and annotate human behaviors
Fun projects to satisfy my ego
🗒 Hexo theme cutie
A blog theme designed for Hexo static website generator engine
🎮 Tower airdrop
A 2D motion-sensitive exercise game on Android
🎓 An opinionated curated list of resources for Ph.D. students
👤 About me
🇨🇳 From China
🇺🇸 Studying in US
⌨️ A daily coder
👨🎓 And a researcher
🎰 In machine learning
📱 And apps
🎮 Love games
👺 And anime
⚽️ And sports
🎵 And Chinese rap
🎥 And movies