Abstract
A quantitative risk assessment model determining the likelihood of incurring work-related musculoskeletal disorders of the upper extremities has been developed based on grip force and hand motion data input from an innovative 'touch glove'. This glove utilizes a commercial CyberGlove to measure hand and finger movements and UniForce pressure sensors to measure grip pressure during work. These are incorporated directly on-line to a laptop with the risk assessment model leading to a predicted incidence rate. The model explains 50% of the variance due to job stressors, with the remaining variability due to individual and psychosocial factors. These were examined in a pilot case-control retrospective epidemiological study of 97 participants, reducing the unexplained variability to almost less than 10%.
| Original language | English (US) |
|---|---|
| Pages | 728-731 |
| Number of pages | 4 |
| State | Published - 2000 |
| Event | Proceedings of the XIVth Triennial Congress of the International Ergonomics Association and 44th Annual Meeting of the Human Factors and Ergonomics Association, 'Ergonomics for the New Millennnium' - San Diego, CA, United States Duration: Jul 29 2000 → Aug 4 2000 |
Other
| Other | Proceedings of the XIVth Triennial Congress of the International Ergonomics Association and 44th Annual Meeting of the Human Factors and Ergonomics Association, 'Ergonomics for the New Millennnium' |
|---|---|
| Country/Territory | United States |
| City | San Diego, CA |
| Period | 7/29/00 → 8/4/00 |
All Science Journal Classification (ASJC) codes
- Human Factors and Ergonomics