Abstract
We identify frequency limitations on linearity in two-dimensional (2-D) motion for three subject groups: young (mean and σ: 23±3), old (72±2), and movement-disabled (65±16). The linearity of the relationship between input and output - i.e., between target tracking signals and resulting human upper extremity motion - is quantified using adaptive coherence estimation. We show that linearity decreases with input frequency. Old and disabled subjects' 2-D motion is almost completely nonlinear. Nonlinear filtering therefore will likely improve precision in rehabilitative and surgical teleoperation.
Original language | English (US) |
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Pages (from-to) | 1039-1040 |
Number of pages | 2 |
Journal | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
Volume | 16 |
Issue number | pt 2 |
State | Published - Dec 1 1994 |
Event | Proceedings of the 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 1 (of 2) - Baltimore, MD, USA Duration: Nov 3 1994 → Nov 6 1994 |
ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics