Seongjung Kim

TL;DR: A finger language recognition algorithm based on an ensemble artificial neural network (E-ANN) using an armband system with 8-channel electromyography (EMG) sensors and the accuracy of the E-ANN was significantly higher than that of the general ANN.

TL;DR: The algorithm was successfully applied to provide seven different hand postures in a 5-finger myoelectric hand prosthesis and showed that the major misclassifications were lateral pinch versus palmar pinch, and index versus thumb-up, however, with the classification training for seven or more sessions, the probability of misclassification significantly decreased.

TL;DR: In this study, a pre-impact fall detection algorithm using a custom-made inertial sensor was optimized, and a spring-trigger airbag system was developed for preventing injuries from falls.

TL;DR: It can be concluded that the hip protection airbag can prevent the hip fracture by effectively attenuating impact force during falls in the elderly.

TL;DR: In this article, an attempt at utilizing mechanomyography (MMG) to quantify muscle fatigue, which occurs on account of repeated functional electrical stimulations (FES), is presented Twenty-one subjects participated in the experiment, wherein a constant electrical stimulation was repeatedly applied to the tibialis anterior muscle MMG signals were measured simultaneously, as the stimulations were applied, and subsequently quantified using 8 different methods.