ARTÍCULO
TITULO

Detection of Gait Characteristics for Scene Registration in Video Surveillance System

Havasi    
L.    
Szlavik    
Z.    
Sziranyi    
T.    

Resumen

No disponible

 Artículos similares

       
 
Tee Connie, Timilehin B. Aderinola, Thian Song Ong, Michael Kah Ong Goh, Bayu Erfianto and Bedy Purnama    
Parkinson?s disease (PD) is a neurodegenerative disorder that is more common in elderly people and affects motor control, flexibility, and how easily patients adapt to their walking environments. PD is progressive in nature, and if undetected and untreat... ver más
Revista: Algorithms

 
Fu-Cheng Wang, Szu-Fu Chen, You-Chi Li, Chih-Jen Shih, Ang-Chieh Lin and Tzu-Tung Lin    
This paper investigates the effectiveness of using an automatic NDT trainer for the clinical rehabilitation of stroke patients.
Revista: Applied Sciences

 
Marko Munih, Zoran Ivanic and Roman Kamnik    
We describe the Wearable Sensory Apparatus (WSA) System, which has been implemented and verified in accordance with the relevant standards. It comprises the Inertial Measurement Units (IMUs), real-time wireless data transmission over Ultrawideband (UWB),... ver más
Revista: Applied Sciences

 
Tetsuro Miyazaki, Toshihiro Tagami, Daisuke Morisaki, Ryoken Miyazaki, Toshihiro Kawase, Takahiro Kanno and Kenji Kawashima    
Power assistive devices have been developed in recent years. To detect the wearer?s motion, conventional devices require users to wear sensors. However, wearing many sensors increases the wearing time, and usability of the device will become worse. We de... ver más
Revista: Applied Sciences

 
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... ver más
Revista: Algorithms