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You-Kwang Wang and Chien-Yu Chen
As medical technology continues to evolve, the importance of real-time feedback from physiological signals is increasingly being recognized. The advent of the Internet of Things (IoT) has facilitated seamless connectivity between sensors and virtual netw...
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Yuvaraj Ramasamy, Juliana Usman, Rizal Razman, Yeap Ming Wei, Harley Towler and Mark King
The shoulder is a unique and complex joint in the human body with three bones and four joints, which makes it the most unstable joint in the body due to the amount of motion. To improve approaches toward understanding the performance of overhead throwing...
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Barbara J. Hoogenboom, Christopher J. May, Gordon J. Alderink, Brian S. Thompson and Lukas A. Gilmore
The squat, a fundamental functional movement, is prone to biomechanical inefficiencies. Several screening batteries utilize the Overhead Deep Squat (OHDS) to assess individuals for stability and mobility deficits. The purpose of this study was to create ...
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Huan-Yu Chen, Chuen-Horng Lin, Jyun-Wei Lai and Yung-Kuan Chan
This paper proposes a multi?convolutional neural network (CNN)-based system for the detection, tracking, and recognition of the emotions of dogs in surveillance videos. This system detects dogs in each frame of a video, tracks the dogs in the video, and ...
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Cui Dewen, Matsufuji Akihiro, Liu Yi, Eri Sato- Shimokawa, Toru Yamaguchi
Pág. 338 - 350
In human-robot interaction, human mental states in dialogue have attracted attention to human-friendly robots that support educational use. Although estimating mental states using speech and visual information has been conducted, it is still challenging ...
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