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Yuqing Yin, Xuehan Zhang, Rixia Lan, Xiaoyu Sun, Keli Wang and Tianbing Ma
This study proposes a new approach to gait recognition using LoRa signals, taking into account the challenging conditions found in underground coal mines, such as low illumination, high temperature and humidity, high dust concentrations, and limited spac...
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Ming Chen, Tao Ren, Pihai Sun, Jianfei Wu, Jinfeng Zhang and Aite Zhao
In the past few years, the assessment of Parkinson?s disease (PD) has mainly been based on the clinician?s examination, the patient?s medical history, and self-report. Parkinson?s disease may be misdiagnosed due to a lack of clinical experience. Moreover...
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Ro-Bin Lee, Young Seung Lee, Hyosun Kweon, Hyun Kyung Kim and Yoon Sang Kim
In this paper, we propose an interactive mobile gait training system that allows trainees to interact actively with its content (the gait training content). The proposed system is a new type of gait training one combining a mobile robot with virtual real...
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Yu-Shiuan Tsai and Si-Jie Chen
In terms of gait recognition, face recognition is currently the most commonly used technology with high accuracy. However, in an image, there is not necessarily a face. Therefore, face recognition cannot be used if there is no face at all. However, when ...
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Shadi Eltanani, Tjeerd V. olde Scheper and Helen Dawes
The application of machine learning (ML) has made an unprecedented change in the field of medicine, showing a significant potential to automate tasks and to achieve objectives that are closer to human cognitive capabilities. Human gait, in particular, is...
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Maria Skublewska-Paszkowska, Pawel Powroznik, Jakub Smolka, Marek Milosz, Edyta Lukasik, Dilbar Mukhamedova and Elzbieta Milosz
Traditional dance is one of the key elements of Intangible Culture Heritage (ICH). Many scientific papers concern analysis of dance sequences, classification and recognition of movements, making ICH data public, creating and visualising 3D models or soft...
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Tao Zhen, Lei Yan and Peng Yuan
Gait phase detection is a new biometric method which is of great significance in gait correction, disease diagnosis, and exoskeleton assisted robots. Especially for the development of bone assisted robots, gait phase recognition is an indispensable key t...
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Asanka G. Perera, Yee Wei Law and Javaan Chahl
Aerial human action recognition is an emerging topic in drone applications. Commercial drone platforms capable of detecting basic human actions such as hand gestures have been developed. However, a limited number of aerial video datasets are available to...
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Zhyar Q. Mawlood, Azhin T. Sabir
Pág. 1 - 14
A biometric system offers automatic identification of an individual based on characteristic possessed by the individual. Biometric identification systems are often categorized as physiological or behavioural characteristics. Gait as one of the behavioura...
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Azhin T. Sabir
Pág. 1 - 11
Introduction: Nowadays human gait identification/recognition is available in a variety of applications due to rapid advances in biometrics technology. This makes them easier to use for security and surveillance. Due to the rise in terrorist attacks durin...
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