QUANTITATIVE GAIT FEATURE ASSESSMENT ON TWO-DIMENSIONAL BODY AXIS PROJECTION PLANES CONVERTED FROM THREE-DIMENSIONAL COORDINATES ESTIMATED WITH A DEEP LEARNING SMARTPHONE APP

To assess pathological gaits quantitatively, three-dimensional coordinates estimated with a deep learning model were converted into body axis plane projections.First, 15 healthy volunteers performed four gait patterns; that is, normal, shuffling, short-stepped, and wide-based gaits, with the Three-Dimensional Pose Tracker for Gait Test (TDPT-GT) ap

Wireless sensor networks (WSNs) generally have a many-to-one structure so that event information flows from sensors to a unique sink.In recent WSN applications, many-to-many structures evolved due to the need for conveying collected event information to multiple sinks.Privacy preserved data collection models in the literature do not solve the probl

Fog computing (FC), extending cloud services to the network edge, has emerged as a key paradigm for low-latency applications like the Internet of Things (IoT).However, efficient resource management, task scheduling, and load balancing pose challenges in apunisw2 fog environments.This review surveys recent research efforts aimed at addressing these

Abstract Background Ambulatory care sensitive conditions (ACSC) hospitalization is a widely accepted measure of the access to primary care.However, given its discretionary characteristics, the ACSC hospitalization can be a measure reflecting the influence of hospital bed supply.In Korea, where the here quality of primary care and oversupply of hosp