Cheol-Hong Min

Learn More
This paper describes the infrastructure of a flexible, cost-effective, wireless in-home activity monitoring system for assisting patients with cognitive impairments due to traumatic brain injury (TBI) and presents initial applications in detecting functional activities executed in the early morning. The system issues automatic reminders or guidance only(More)
In this study, we target to automatically detect behavioral patterns of patients with autism. Many stereotypical behavioral patterns may hinder their learning ability as a child and patterns such as self-injurious behaviors (SIB) can lead to critical damages or wounds as they tend to repeatedly harm one single location. Our custom designed accelerometer(More)
In this paper, we study the classification of the early morning activities of daily living to assist those with cognitive impairments due to traumatic brain injuries. The system can be used to help therapists in hospitals or could be deployed in one's home. We briefly describe the infrastructure of our cost-effective system which uses fixed and wearable(More)
In this study, we investigate various locations of sensor positions to detect stereotypical self-stimulatory behavioral patterns of children with Autism Spectrum Disorder (ASD). The study is focused on finding optimal detection performance based on sensor location and number of sensors. To perform this study, we developed a wearable sensor system that uses(More)
We describe a system for assisting patients in a home setting who suffer from cognitive impairments due to traumatic brain injury. The system integrates fixed wireless home sensors and wearable wireless sensors. We focus on the task of classifying activities of daily living. We locate and track the subjects with the help of home sensors and capture the(More)
In this paper we investigate the use of wearable accelerometers and wireless home sensors for the detection of early morning daily activities to assist people with cognitive impairments. In particular we focus on the detection of brushing, washing face and shaving activities by using a wireless accelerometer sensor attached to the right wrist of the(More)
Smart fabrics allow for convenient wearable sensing solutions to monitor body movements during our daily life. However, garment-integrated sensing presents challenges for accurate sensing, due many variables including those presented by variability in garment and sensor dimensions due to cut-and-sew manufacturing processes, and those introduced by(More)