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김재준(Jae Jun Kim),김경(Kyung Kim),서영수(Young Soo Seo),김재원(Jae Won Kim),김제남(Je Nam Kim),정우석(Wu Suk Chong),유창호(Chang Ho Yu),권대규(Tae Kyu Kwon),송원경(Won Kyung Song) Korean Society for Precision Engineering 2016 한국정밀공학회지 Vol.33 No.9
Weight bearing is effective during rehabilitation of gait, in the elderly and disabled people. Various training devices using weight bearing function were developed along with treadmill walking; however, no device has been developed in conjunction to walking on the ground. Here, we designed a rail type frame of a gait rehabilitation system for body-weight support (BWS) function, and analyzed its mechanical safety in the static weight bearing condition of a vertical axis. Computational simulations were performed to analyze structure of the driving parts, which are connected with a rail and driving rollers and the lower plate of the BWS. Structural analyses showed the drivers and BWS were safe, when simulated at 135kg weight under static conditions. Thus, this rail type rehabilitation system can be used for gait training of the elderly and disabled.
황수영(Soo-Young Hwang),유문호(Mun-Ho Ryu),김제남(Je-Nam Kim),양윤석(Yoon-Seok Yang) 한국IT서비스학회 2012 한국IT서비스학회지 Vol.11 No.S
In this study, a real-time fall detection system based on a smartphone equipped with three-axis accelerometer and magnetometer was proposed and evaluated. The proposed system provides a service that detects falls in real time, triggers alarm sound, and sends emergency SMS(Short Message Service) if the alarm is not deactivated within a predefined time. When both of the acceleration magnitude and angle displacement of the smartphone attached to waist belt are greater than predefined thresholds, it is detected as a fall. The proposed system was evaluated against activities of daily living(walking, jogging, sitting down, standing up, ascending stairs, and descending stairs) and unintended falls induced by a proprietary pneumatic-powered mattress. With the thresholds of acceleration magnitude 1.7g and angle displacement 80°, it showed 96.5% accuracy to detect the falls while all the activities of daily living were not detected as fall.