Consider neuromusculoskeletal redundancy and extended proprioception when designing smart structures to interface with humans

Jack M. Winters

doi:10.1117/12.240885

30 May 1996 Consider neuromusculoskeletal redundancy and extended proprioception when designing smart structures to interface with humans

Jack M. Winters

Author Affiliations +

Proceedings Volume 2718, Smart Structures and Materials 1996: Smart Sensing, Processing, and Instrumentation; (1996) https://doi.org/10.1117/12.240885
Event: 1996 Symposium on Smart Structures and Materials, 1996, San Diego, CA, United States

Abstract

Despite many well-intentioned attempts to utilize state-of-the-art advanced control systems technology to design contact devices such as powered orthoses, there have been more failures than successes. In part this is due to our limited understanding of neuromechanical function, and of how to optimally design human-technology interfaces. This paper develops a theoretical foundation for mechanical impedance and postural stability for large-scale human systems, and for the analysis and design of human-technology contact interfaces. We start with four basic presuppositions: redundancy is a fundamental feature of biosystem design, muscle actuators possess intrinsic nonlinear stiffness which can be modulated, mechanical interaction between the human and an environment is fundamentally bicausal, and objects with certain properties can become almost a natural extension of the human body. We then develop the key concepts of intimate contact and extended proprioception, and provide examples of how these principles can be applied to practical problems in orthotics, focusing on posture-assist technologies. Finally, suggestions are put forward for applying smart materials and structures to innovative orthotic design.

Citation Download Citation

Jack M. Winters "Consider neuromusculoskeletal redundancy and extended proprioception when designing smart structures to interface with humans", Proc. SPIE 2718, Smart Structures and Materials 1996: Smart Sensing, Processing, and Instrumentation, (30 May 1996); https://doi.org/10.1117/12.240885

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