Daily Activities Classification on Human Motion Primitives Detection Dataset

2018 ◽  
pp. 117-125 ◽  
Author(s):  
Zi Hau Chin ◽  
Hu Ng ◽  
Timothy Tzen Vun Yap ◽  
Hau Lee Tong ◽  
Chiung Ching Ho ◽  
...  
Keyword(s):  
Human Motion ◽  
Daily Activities ◽  
Motion Primitives

scholarly journals Incremental learning of full body motion primitives and their sequencing through human motion observation

2011 ◽  
Vol 31 (3) ◽  
pp. 330-345 ◽  
Author(s):  
Dana Kulić ◽  
Christian Ott ◽  
Dongheui Lee ◽  
Junichi Ishikawa ◽  
Yoshihiko Nakamura
Keyword(s):  
Incremental Learning ◽  
Human Motion ◽  
Body Motion ◽  
Motion Primitives ◽  
Full Body

An Interface between an Exoskeletal Elbow Motion Assistance Robot and the Human Upper Arm

2002 ◽  
Vol 14 (5) ◽  
pp. 439-452 ◽  
Author(s):  
Kazuo Kiguchi ◽  
◽  
Shingo Kariya ◽  
Takakazu Bnaka ◽  
Keigo Watanabe ◽  
...  
Keyword(s):  
Surface Electromyography ◽  
Elbow Joint ◽  
Human Subject ◽  
Angular Position ◽  
Skin Surface ◽  
Human Motion ◽  
Daily Activities ◽  
Joint Motion ◽  
Upper Arm ◽  
Elbow Motion

We have been developing exoskeletal motion assistance robots for human motion support to help physically weak persons. Since elbow motion is one of the simplest and most important motion in daily activities, we have developed a exoskeletal robot for human elbow motion assistance. In this system, the angular position and impedance of the exoskeletal robot are controlled by multiple fuzzy-neuro controllers. Skin surface electromyography (EMG) signals and wrist force by the human subject during elbow joint motion have been used as input information for the controller. Since the activation of working muscles tends to vary with the human subject's upper arm posture, we propose an interface that cancels out the effect of posture changes of the human subject's upper arm. Experimental results show the effectiveness of the proposed interface.

Determining the Reaction Forces and Torques that Appeared in the Ankle Joint during Normal Walking

2015 ◽  
Vol 801 ◽  
pp. 257-261
Author(s):  
Lucian Rusu ◽  
Cosmina Vigaru ◽  
Dan Ioan Stoia
Keyword(s):  
Ankle Joint ◽  
Input Data ◽  
Reaction Force ◽  
Human Motion ◽  
Daily Activities ◽  
Human Motion Analysis ◽  
Normal Walking ◽  
Human Ankle ◽  
Reaction Forces ◽  
Excel File

The human body is a very complex system which is studied by doctors but also by engineers. The human motion analysis is an important topic in the biomechanical field. It is essential to determine the forces and torques that appears in joints during daily activities for the development of implants and prosthesis. The goal of this paper is to establish time variation of force and torque in the human ankle joint during one walking step. For this experiment we used two equipments witch record the ground reaction force respectively the angular motion for the ankle joint. Based on these measurements and using the anthropometric patient parameters we developed an application (using in Matlab – Simulink software) that calculates the forces and torques that appear in the human ankle joint. The application simulates the motion taking into account the mass inertia moments. The results of simulation are the forces and torques that appear in ankle joint. The application can simulate any type of human motion, according to the input data from the excel file. These results can be used further for the optimization of ankle implants or prosthesis.

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