The application of fuzzy granular computing for the analysis of human dynamic behavior in 3D space

2012 2012

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Abstract (summary)

Human dynamic behavior in space is very complex in that it involves many physical, perceptual and motor aspects. It is tied together at a sensory level by linkages between vestibular, visual and somatosensory information that develop through experience of inertial and gravitational reaction forces. Coordinated movement emerges from the interplay among descending output from the central nervous system, sensory input from the body and environment, muscle dynamics, and the emergent dynamics of the whole neuromusculoskeletal system.

There have been many attempts to directly capture the activities of the neuronal system in human locomotion without the ability to clarify how the nervous system adaptively functions as a dynamic system and how it effectively coordinates adaptive interactions with the musculoskeletal system during locomotion. Other studies have tried to artificially emulate locomotion by using mathematical models and robots based on control theory, without any success in the understanding of biological locomotor mechanisms, as the control laws are artificially constructed solely based on an engineering perspective independent of actual biological mechanisms.

This research applies fuzzy granular computing and the fusion of multiple wearable sensor data to analyze human dynamic behavior in 3D space. The outcome of this system may yield cues for the estimation of external stimuli and/or compensatory responses depending upon which factors are controlled.

This novel system has been tested and evaluated using two groups of subjects, able-bodied and neurological patients. The results show a high ability of the system to facilitate an objective and quantitative assessment of functional gait impairment.

This study provides a potential base for a flexible, efficient and cost-effective system for clinical gait assessment, a system to assist both doctors and clinicians in the diagnosis of pathological gait impairments, prescribe treatment, and assess the improvements in response to therapeutic intervention.

Indexing (details)

Computer Engineering;
Biomedical engineering;
Artificial intelligence
0464: Computer Engineering
0541: Biomedical engineering
0800: Artificial intelligence
Identifier / keyword
Applied sciences; Bio-sensors; Clinical gait assessment; Electromyography; Fuzzy granular computing; Gait analysis; Wearable sensors
The application of fuzzy granular computing for the analysis of human dynamic behavior in 3D space
Alaqtash, Murad Mohammad Suleiman
Number of pages
Publication year
Degree date
School code
DAI-B 73/11(E), Dissertation Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
Sarkodie-Gyan, Thompson
Committee member
Abdelgawad, Amr; Brower, Richard; Kreinovich, Vladik; Starks, Scott; Vargas Hernandez, Noe
The University of Texas at El Paso
Computer Eng.
University location
United States -- Texas
Source type
Dissertations & Theses
Document type
Dissertation/thesis number
ProQuest document ID
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
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