Human motion capture by integrating gyroscopes and accelerometers

Sakaguchi, Takashi; Kanamori, Tsutomu; Katayose, Haruhiro; Sato, Kosuke; Ishikawa, Seiji

doi:10.1109/mfi.1996.572219

Cited by 43 publications

(18 citation statements)

References 2 publications

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“…[2] and [12] for example show that accelerometers and gyrometers are sufficient for real time motion capture if the data are combined correctly. In our case, we design a sensor system using three couples of accelerometer/gyrometer sensors: one on the head, one on the torso and one on the wheelchair.…”

Section: The Motion Capture Systemmentioning

confidence: 99%

Motion adaptation on a wheelchair driving simulator

Goncalves¹,

Trénoras²,

Schmid

2014

2014 2nd Workshop on Virtual and Augmented Assistive Technology (VAAT)

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The objective of the AccesSim project is to design a wheelchair simulator using Virtual Reality and a robotic platform to detect and illustrate accessibility issues in complex environments. In order to be efficient, the robotic platform must provide haptic and vestibular feedbacks to different profile of end users: urbanists to wheelchair users. It must be modular and adaptable to each one of them. In this paper we focus our robotic platform capable of adapting its configuration and feedback rendering based on the user. The design of the platform is described. The capacity of the platform to reproduce the motion of a wheelchair in a specific study case is tested experimentally. Finally the results introduce the possibility of adapting the dynamic feedback rendering based on a specific user and environmental situations.

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Section: The Motion Capture Systemmentioning

confidence: 99%

Motion adaptation on a wheelchair driving simulator

Goncalves¹,

Trénoras²,

Schmid

2014

2014 2nd Workshop on Virtual and Augmented Assistive Technology (VAAT)

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“…They are often used in conjunction with other systems to provide updates and improvements of measurements because they only measure relative changes instead of absolute positions. Most prior works focused on analysing the characteristics of inertial sensors to capture some basic postures or daily behaviours . Image‐based systems use cameras to capture the movements of a subject who is attached with retro‐reflective markers.…”

Section: Related Workmentioning

confidence: 99%

Using body sensor networks for motion detection: a cluster‐based approach for green radio

Lan

Chou

Wang

et al. 2012

Trans. Emerging Tel. Tech.

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Body sensor networks (BSN) are an emerging application that places sensors on the human body. Given that a BSN is typically powered by a battery, one of the most critical challenges is how to prolong the lifetime of all sensor nodes. In addition, there is an increased interest in ‘green radio’ networks that aim to reduce the energy consumption for wireless communications to cut emissions of CO 2. Recently, using clusters to reduce the energy consumption of BSN has shown promising results. One of the important parameters in these cluster‐based algorithms is the selection of cluster heads. Most prior works selected cluster heads either probabilistically or on the basis of nodes’ residual energy. In this work, we first discuss the efficiency of cluster‐based approaches for saving energy. We then propose a novel cluster head selection algorithm to maximise the lifetime of a BSN for motion detection. Our results show that we can achieve above 90% accuracy for the motion detection, while keeping energy consumption as low as possible. Copyright © 2012 John Wiley & Sons, Ltd.

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“…Among the technologies that are becoming mature enough nowadays, inertial motion capture systems appear to be promising. In the mid 1990s, T. Sakaguchi et al , fused data from accelerometers and rate gyros to estimate the pose and motion of human arms. Since then, several advances have been made in this field .…”

Section: Introductionmentioning

confidence: 99%

A new approach for motion capture using magnetic field : models, algorithms and first results

Aloui

Villien

Lesecq

2014

Adaptive Control & Signal

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Indoor and outdoor applications such as sports and health monitoring as well as realistic 3D movie and game animations require ambulatory motion capture. Thus, creating a new low-cost light-weight wearable motion capture system that offers realistic motion estimates is of great interest. This paper presents a new approach for ambulatory human motion capture, featuring a body mounted magnetic field source and magnetic field sensors together with an estimation algorithm. A complete study of the model, the hardware, and the estimation algorithms is presented. Results obtained in the context of motion capture of human upper limbs illustrate the proposed approach.

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Human motion capture by integrating gyroscopes and accelerometers

Cited by 43 publications

References 2 publications

Motion adaptation on a wheelchair driving simulator

Motion adaptation on a wheelchair driving simulator

Using body sensor networks for motion detection: a cluster‐based approach for green radio

A new approach for motion capture using magnetic field : models, algorithms and first results

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