Human-Arm-and-Hand-Dynamic Model With Variability Analyses for a Stylus-Based Haptic Interface

• Published in: IEEE transactions on systems, man and cybernetics. Part B, Cybernetics Vol. 42; no. 6; pp. 1633 - 1644
• Main Authors: Fu, M. J., Cavusoglu, M. C.
• Format: Journal Article
• Language: English
• Published: United States IEEE 01-12-2012
• Subjects: Adult; Arm - physiology; Biomechanical Phenomena; Cybernetics - instrumentation; Cybernetics - methods; Feedback; Female; Force measurement; Frequency response; Hand - physiology; Hand Strength - physiology; Haptic interfaces; Haptics and haptic interfaces; Human-robot interaction; Humans; Male; Man-Machine Systems; Mathematical model; Models, Biological; Phantoms, Imaging; physical human-robot interaction human operator modeling; System identification; Touch - physiology
• ISSN: 1083-4419; 1941-0492
• DOI: 10.1109/TSMCB.2012.2197387

Haptic interface research benefits from accurate human arm models for control and system design. The literature contains many human arm dynamic models but lacks detailed variability analyses. Without accurate measurements, variability is modeled in a very conservative manner, leading to less than optimal controller and system designs. This paper not only presents models for human arm dynamics but also develops inter- and intrasubject variability models for a stylus-based haptic device. Data from 15 human subjects (nine male, six female, ages 20-32) were collected using a Phantom Premium 1.5a haptic device for system identification. In this paper, grip-force-dependent models were identified for 1-3-N grip forces in the three spatial axes. Also, variability due to human subjects and grip-force variation were modeled as both structured and unstructured uncertainties. For both forms of variability, the maximum variation, 95%, and 67% confidence interval limits were examined. All models were in the frequency domain with force as input and position as output. The identified models enable precise controllers targeted to a subset of possible human operator dynamics.