Complex multiple features tracking algorithm in motion capture

Author(s):  
L. Zhongxiang ◽  
Liang Ronghua
2019 ◽  
Vol 56 (22) ◽  
pp. 221502
Author(s):  
王译萱 Wang Yixuan ◽  
吴小俊 Wu Xiaojun ◽  
徐天阳 Xu Tianyang

2019 ◽  
Vol 79 (21-22) ◽  
pp. 14671-14688
Author(s):  
Xiyan Sun ◽  
Kaidi Zhang ◽  
Yuanfa Ji ◽  
Shouhua Wang ◽  
Suqing Yan ◽  
...  

1998 ◽  
Vol 14 (3) ◽  
pp. 202-210 ◽  
Author(s):  
Suzanne Skiffington ◽  
Ephrem Fernandez ◽  
Ken McFarland

This study extends previous attempts to assess emotion with single adjective descriptors, by examining semantic as well as cognitive, motivational, and intensity features of emotions. The focus was on seven negative emotions common to several emotion typologies: anger, fear, sadness, shame, pity, jealousy, and contempt. For each of these emotions, seven items were generated corresponding to cognitive appraisal about the self, cognitive appraisal about the environment, action tendency, action fantasy, synonym, antonym, and intensity range of the emotion, respectively. A pilot study established that 48 of the 49 items were linked predominantly to the specific emotions as predicted. The main data set comprising 700 subjects' ratings of relatedness between items and emotions was subjected to a series of factor analyses, which revealed that 44 of the 49 items loaded on the emotion constructs as predicted. A final factor analysis of these items uncovered seven factors accounting for 39% of the variance. These emergent factors corresponded to the hypothesized emotion constructs, with the exception of anger and fear, which were somewhat confounded. These findings lay the groundwork for the construction of an instrument to assess emotions multicomponentially.


Author(s):  
Minhuck Park ◽  
Sanghoon Jeon ◽  
Beomju Shin ◽  
Heekwon No ◽  
Changdon Kee ◽  
...  

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