Implementation and Calibration of Real Time Posture Tracking Of Human Limb Segment Motions

2006 ◽  
Vol 2 (1) ◽  
pp. 50-56
Author(s):  
N. Suthanthira Vanitha ◽  
◽  
V. Palanisamy ◽  
M. Mani
1999 ◽  
Author(s):  
Hong Z. Tan

Abstract This paper is concerned with how objects in an environment can be made aware of people via haptic sensing. It was motivated by the desire to make our environment “smarter” by providing it with sensory systems similar to our own. The work reported here focuses on an object that is involved in virtually all human-computer interactions, yet has remained sensory-deprived — the chair. A real-time sitting posture classification system has been developed using surface-mounted pressure sensors placed on the seatpan and backrest of a chair. The ultimate goal of this work is to build a robust multi-user sitting-posture tracking system that will have many applications including ergonomics and automatic control of airbag deployment in a car. Challenges for reaching the goal and plans of nature work are discussed.


1999 ◽  
Vol 15 (4) ◽  
pp. 418-428 ◽  
Author(s):  
John H. Challis

Repeat measurements were made by 2 operators on a group of 50 physically active subjects (age, 20.7 years ± 1.8; males: height 1.780 m ± 0.043. mass, 78.09 kg ± 9.30; females: height. 1.680 m ± 0.064. mass. 66.67 kg ± 6.67) to determine the precision with which the subjects' limb segment inertial parameters could be estimated. Segmental inertial parameters were determined using 3 techniques. 2 of which involved modeling segments as geometric solids, and a 3rd which used the equations of Zatsiorsky et al. (1990). Precisions were high for all 3 techniques, with little difference between inter- and intra-operator precisions. The lowest precisions were obtained for the hands and feet. For these segments the use of repeat measures to improve precision is recommended. These results imply that with similarly trained measurers, comparison of inertial parameters determined using the same protocol but obtained by different operators is appropriate, and that it is viable to have 2 measurers taking measurements on the same subject to accelerate data collection.


2014 ◽  
Vol 686 ◽  
pp. 121-125
Author(s):  
Fei Jiang ◽  
Ying Jie Yu ◽  
Da Wei Yan

This paper designed the posture initialization calibration method by the inertial sensor in human limb movement with any attitude toward. By initializing the target specific actions can be implemented to identify timing corresponding sensors and joint, and calculate the coordinate transformation relation of human skeletal coordinates corresponding to each inertial sensor's coordinate system and the 3D human skeleton model. Then through the coordinate conversion of inertial sensor attitude coordinates and depth first traversal calculation on human skeletal tree, real-time update of human motion body attitude data, driven simulation of human skeletal model by human motion, realize the real-time tracking of motion capture.


1987 ◽  
Vol 20 (5) ◽  
pp. 511-521 ◽  
Author(s):  
Tadeusz Bober ◽  
Carol A. Putnam ◽  
George G. Woodworth

Digital Twin ◽  
2021 ◽  
Vol 1 ◽  
pp. 11
Author(s):  
Tingyu Liu ◽  
Mengming Xia ◽  
Qing Hong ◽  
Yifeng Sun ◽  
Pei Zhang ◽  
...  

The digital twin shop-floor has received much attention from the manufacturing industry as it is an important way to upgrade the shop-floor digitally and intelligently. As a key part of the shop-floor, humans' high autonomy and uncertainty leads to the difficulty in digital twin modeling of human behavior. Therefore, the modeling system for cross-scale human behavior in digital twin shop-floors was developed, powered by the data fusion of macro-behavior and micro-behavior virtual models. Shop-floor human macro-behavior mainly refers to the role of the human and their real-time position. Shop-floor micro-behavior mainly refers to real-time human limb posture and production behavior at their workstation. In this study, we reviewed and summarized a set of theoretical systems for cross-scale human behavior modeling in digital twin shop-floors. Based on this theoretical system, we then reviewed modeling theory and technology from macro-behavior and micro-behavior aspects to analyze the research status of shop-floor human behavior modeling. Lastly, we discuss and offer opinion on the application of cross-scale human behavior modeling in digital twin shop-floors. Cross-scale human behavior modeling is the key for realizing closed-loop interactive drive of human behavior in digital twin shop-floors.


2019 ◽  
Vol 35 (4) ◽  
pp. 873-888 ◽  
Author(s):  
Fan Zhang ◽  
Antoine Cully ◽  
Yiannis Demiris

2020 ◽  
Author(s):  
Gary A Kane ◽  
Gonçalo Lopes ◽  
Jonny L Saunders ◽  
Alexander Mathis ◽  
Mackenzie W Mathis

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