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A novel cost-effective postural tracking algorithm using marker-based video processing
- Source :
- International Journal of Occupational Safety and Ergonomics. 28:1882-1893
- Publication Year :
- 2021
- Publisher :
- Informa UK Limited, 2021.
-
Abstract
- Recently, many postural analysis techniques have been developed in order to reduce the risk of musculoskeletal problems. Methods such as rapid entire body assessment are capable of analyzing the most constant or awkward positions, but the selection of these postures is subjective. To make an objective postural analysis, devices such as electromagnetic trackers can be used continuously during the job task, but utilizing such devices is costly. Therefore, in this study a cost-effective marker-based video processing algorithm is developed for measuring three-dimensional (3D) information regarding both the location and the orientation of human posture. To investigate the precision of the measurements, an experiment was designed. With the average of 2.88 mm and 1.34° for location and orientation, respectively, the algorithm was able to measure six degrees of freedom information regarding 3D space. Furthermore, the precision of the algorithm is found to be significantly affected by the marker pattern.
- Subjects :
- Measure (data warehouse)
BitTorrent tracker
Computer science
Orientation (computer vision)
Cost-Benefit Analysis
Posture
05 social sciences
Public Health, Environmental and Occupational Health
Video processing
Tracking (particle physics)
030210 environmental & occupational health
03 medical and health sciences
Task (computing)
0302 clinical medicine
Humans
Six degrees of freedom
0501 psychology and cognitive sciences
Ergonomics
Safety, Risk, Reliability and Quality
Safety Research
Algorithm
Algorithms
050107 human factors
Selection (genetic algorithm)
Subjects
Details
- ISSN :
- 23769130 and 10803548
- Volume :
- 28
- Database :
- OpenAIRE
- Journal :
- International Journal of Occupational Safety and Ergonomics
- Accession number :
- edsair.doi.dedup.....917c9188787db1e6850f6f0103d7569d