Area of research
Computer Vision and Pattern Recognition · Electrical and Electronic Engineering
Research interest
Research focused on Non-negative matrix factorization and Encoding (memory), with related work in Computer network, Perception, Matrix decomposition. Notable publications include 'A Multi-Agent-Based Intelligent Sensor and Actuator Network Design for Smart House and Home Automation', 'Mobile Target Scenario Recognition Via Low-Cost Pyroelectric Sensing System: Toward a Context-Enhanced Accurate Identification', and 'Cyberphysical System With Virtual Reality for Intelligent Motion Recognition and Training'.
Dual-Mode Binary Thermal Sensing for Indoor Human Scenario Recognition with Pyroelectric Infrared Sensors
Binary Compressive Tracking
Static Human Detection and Scenario Recognition via Wearable Thermal Sensing System
Cyberphysical System With Virtual Reality for Intelligent Motion Recognition and Training
Apprenticeship Learning Based Spectrum Decision in Multi-Channel Wireless Mesh Networks with Multi-Beam Antennas
Monitoring of paces and gaits using binary PIR Sensors with rehabilitation treadmill
Human Movement Modeling and Activity Perception Based on Fiber-Optic Sensing System
Non-informative hierarchical Bayesian inference for non-negative matrix factorization
Primate-inspired adaptive routing in intermittently connected mobile communication systems
Low-Cost Pyroelectric Sensor Networks for Bayesian Crowded Scene Analysis
A Multi-Agent-Based Intelligent Sensor and Actuator Network Design for Smart House and Home Automation
Mobile Target Scenario Recognition Via Low-Cost Pyroelectric Sensing System: Toward a Context-Enhanced Accurate Identification
Space encoding based human activity modeling and situation perception
A Fast Raptor Codes Decoding Strategy for Real-Time Communication Systems
Unsupervised Multi-Level Non-Negative Matrix Factorization Model: Binary Data Case