Treadmill motor current based real-time estimation of anteroposterior force during gait.

Yasutaka Nakashima, Eiichi Ohki, Takeshi Ando, Y. Kobayashi, Masakatsu G. Fujie

Research output: Contribution to journalArticle

Abstract

We have been developing a new vehicle, "Tread-Walk 2", which supports walking for elderly. A control algorithm to improve the operability has been constructed. As the first step, we accurately estimated the user's anteroposterior force from the motor current value without the force sensor. This method is to develop a new mechanical model that considers the friction forces of the treadmill and remove the modeled friction losses from the output. However, we need the vertical force in order to develop a mechanical model. Thus, we proposed the new method to estimate the vertical force without the force sensor. This paper describes the new method to approximate the waveforms of the vertical forces as square waves by adding the user's weight as a parameter to the stance phase. By comparing the estimated anteroposterior force using the new method with the measured one using the force plate, the waveform pattern of the estimated one was similar with that of the measured one in two young subjects whose physical characteristics were different. This showed that the proposed method might possibly be useful for estimating the anteroposterior force in real-time.

Original languageEnglish
Pages (from-to)475-478
Number of pages4
JournalConference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
Publication statusPublished - 2010
Externally publishedYes

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Exercise equipment
Gait
Friction
Sensors
Walking
Weights and Measures

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

Cite this

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title = "Treadmill motor current based real-time estimation of anteroposterior force during gait.",
abstract = "We have been developing a new vehicle, {"}Tread-Walk 2{"}, which supports walking for elderly. A control algorithm to improve the operability has been constructed. As the first step, we accurately estimated the user's anteroposterior force from the motor current value without the force sensor. This method is to develop a new mechanical model that considers the friction forces of the treadmill and remove the modeled friction losses from the output. However, we need the vertical force in order to develop a mechanical model. Thus, we proposed the new method to estimate the vertical force without the force sensor. This paper describes the new method to approximate the waveforms of the vertical forces as square waves by adding the user's weight as a parameter to the stance phase. By comparing the estimated anteroposterior force using the new method with the measured one using the force plate, the waveform pattern of the estimated one was similar with that of the measured one in two young subjects whose physical characteristics were different. This showed that the proposed method might possibly be useful for estimating the anteroposterior force in real-time.",
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AU - Ohki, Eiichi

AU - Ando, Takeshi

AU - Kobayashi, Y.

AU - Fujie, Masakatsu G.

PY - 2010

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