Biological movement

2018 ◽  
Keyword(s):  
Biological Movement

scholarly journals Development of Biological Movement Recognition by Interaction between Active Basis Model and Fuzzy Optical Flow Division

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Bardia Yousefi ◽  
Chu Kiong Loo
Keyword(s):  
Optical Flow ◽  
Human Action Recognition ◽  
General Characteristic ◽  
Human Action ◽  
Biological Movement ◽  
Movement Recognition ◽  
Proposed Model ◽  
The Brain ◽  
Flow Division ◽  
Form Information

Following the study on computational neuroscience through functional magnetic resonance imaging claimed that human action recognition in the brain of mammalian pursues two separated streams, that is, dorsal and ventral streams. It follows up by two pathways in the bioinspired model, which are specialized for motion and form information analysis (Giese and Poggio 2003). Active basis model is used to form information which is different from orientations and scales of Gabor wavelets to form a dictionary regarding object recognition (human). Also biologically movement optic-flow patterns utilized. As motion information guides share sketch algorithm in form pathway for adjustment plus it helps to prevent wrong recognition. A synergetic neural network is utilized to generate prototype templates, representing general characteristic form of every class. Having predefined templates, classifying performs based on multitemplate matching. As every human action has one action prototype, there are some overlapping and consistency among these templates. Using fuzzy optical flow division scoring can prevent motivation for misrecognition. We successfully apply proposed model on the human action video obtained from KTH human action database. Proposed approach follows the interaction between dorsal and ventral processing streams in the original model of the biological movement recognition. The attained results indicate promising outcome and improvement in robustness using proposed approach.

Biological movement detector enhances the attentive skills of humanoid robot iCub

2016 ◽  
Author(s):  
Alessia Vignolo ◽  
Francesco Rea ◽  
Nicoletta Noceti ◽  
Alessandra Sciutti ◽  
Francesca Odone ◽  
...  
Keyword(s):  
Humanoid Robot ◽  
Movement Detector ◽  
Biological Movement

Dynamics governs switching among patterns of coordination in biological movement

1988 ◽  
Vol 134 (1) ◽  
pp. 8-12 ◽  
Author(s):  
J.A.S. Kelso ◽  
J.P. Scholz ◽  
G. Schöner
Keyword(s):  
Biological Movement

Biological movement variability during the sprint start: Performance enhancement or hindrance?

2007 ◽  
Vol 6 (3) ◽  
pp. 246-260 ◽  
Author(s):  
Elizabeth J. Bradshaw ◽  
Peter S. Maulder ◽  
Justin W.L. Keogh
Keyword(s):  
Performance Enhancement ◽  
Movement Variability ◽  
Biological Movement

Biological movement increases acceptance of humanoid robots as human partners in motor interaction

AI & Society ◽  
2011 ◽  
Vol 26 (4) ◽  
pp. 339-345 ◽  
Author(s):  
Aleksandra Kupferberg ◽  
Stefan Glasauer ◽  
Markus Huber ◽  
Markus Rickert ◽  
Alois Knoll ◽  
...  
Keyword(s):  
Humanoid Robots ◽  
Biological Movement ◽  
Motor Interaction

A Moving Video Window or a Mask Yoked to Eye Movements: Experiments on Letters, Words and Biological Movement with prolonged Hemifield Stimulation

1984 ◽  
Vol 25 (1-2) ◽  
pp. 81-98 ◽  
Author(s):  
John L. Bradshaw ◽  
Norman C. Nettleton ◽  
Lyn Wilson ◽  
Greg Nathan
Keyword(s):  
Eye Movements ◽  
Biological Movement
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