Abstract
The study of computational approach to human understanding has been the history of artificial intelligence. The robotics developments in algorithms and software have prepared the powerful research tools that were not available when the study of intelligence started from unembodied frameworks. The computational human model is a large field of research. The author and the colleagues have studied by focussing on behavioral modeling and anatomical modeling. The aims of study on human modeling are double faces of a coin. One side is to develop the technological foundation to predict human behaviors including utterance for robots communicating with the humans. The other side is to develop the quantitative methods to estimate the internal states of the humans. The former directly connected to the development of robotic applications in the aging societies. The latter finds fields of application in medicine, rehabilitation, pathology, gerontology, development, and sports science. This paper survey the recent research of the authors group on the anatomical approach to the computational human modeling.
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Notes
- 1.
The distance between Quadriceps and spinal nerve ramus is 800Â mm.
- 2.
This delay is often observed as the latency of knee-jerk reflex.
- 3.
We use the measured EMG to estimate the activity of Rectus Femoris, so its co-contraction during the jump and squat motions appears in the computed activities.
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Nakamura, Y. (2017). Computational Human Model as Robot Technology. In: Christensen, H., Khatib, O. (eds) Robotics Research . Springer Tracts in Advanced Robotics, vol 100. Springer, Cham. https://doi.org/10.1007/978-3-319-29363-9_31
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