Ming-Fang Chang

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This paper describes a robotic walker, Johnnie, that provides assistance to mobility-challenged people, especially elderly people. Our walker is modified from a conventional unpowered four-wheel walker by equipping motors, sensors and some safety devices, providing mobility and stability to it. In our software system, we provide two modes: (1) autonomous(More)
In this paper, we develop a multi-human detection system with a team of robots basically in an indoor environment. To start with, we propose a hybrid approach to resolve the problem of human leg detection using Laser Range Finder (LRF) for each robot, that returns not only “true” or “false” type of answer but also a probability.(More)
This paper introduces a context-aware assisted active robotic walker for Parkinson's disease (PD) patients. Most of PD patients suffer from not only loss of balance but also abnormal gaits. These symptoms tend to make PD patients fall down more easily and result in low quality of life. We use Hidden Markov Model (HMM) to analyze the gait of PD patients, and(More)
To reduce the chance of traffic crashes, many driver monitoring systems (DMSs) have been developed. A DMS warns the driver under abnormal driving conditions. However, traditional approaches require enumerating abnormal driving conditions. In this paper, we propose a novel DMS, which models the driver's normal driving statuses based on sparse reconstruction.(More)
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