Development of a motion capture system for a hand using a magnetic three dimensional position sensor

Mitobe, Kazutaka; Kaiga, Takaaki; Yukawa, Toshihiro; Miura, Takeshi; Tamamoto, Hideo; Rodgers, Al; Yoshimura, Noboru

doi:10.1145/1179622.1179740

Cited by 37 publications

(16 citation statements)

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“…Electromagnetic systems (Mitobe et al 2006) are susceptible to magnetic and electrical interference from metallic objects in the environment. Marker-based optical systems provide high accuracy (Joaquin L Sancho-Bru et al 2014), but they can be used only within the area covered by the cameras, require a substantial amount of time to setup the markers, and markers often become occluded during the recording of tasks.…”

Section: Introductionmentioning

confidence: 99%

Across-subject calibration of an instrumented glove to measure hand movement for clinical purposes

Gracia-Ibáñez

Buffi²,

Murray³

et al. 2016

Computer Methods in Biomechanics and Biomedical Engineering

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Motion capture of all degrees of freedom of the hand collected during performance of daily living activities remains challenging. Instrumented gloves are an attractive option because of their higher ease of use. However, subject-specific calibration of gloves is lengthy and has limitations for individuals with disabilities. Here, a calibration procedure is presented, consisting in the recording of just a simple hand position so as to allow capture of the kinematics of 16 hand joints during daily life activities even in case of severe injured hands. 'across-subject gains' were obtained by averaging the gains obtained from a detailed subject-specific calibration involving 44 registrations that was repeated three times on multiple days to 6 subjects. In additional 4 subjects, joint angles that resulted from applying the 'across-subject calibration' or the subject-specific calibration were compared. Global errors associated with the 'across-subject calibration' relative to the detailed, subjectspecific protocol were small (bias: 0.49º; precision: 4.45º) and comparable to those that resulted from repeating the detailed protocol with the same subject on multiple days (0.36º; 3.50º). Furthermore, in one subject, performance of the 'across-subject calibration' was directly compared to another fast calibration method, expressed relative to a videogrammetric protocol as a gold-standard, yielding better results.

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Section: Introductionmentioning

confidence: 99%

Across-subject calibration of an instrumented glove to measure hand movement for clinical purposes

Gracia-Ibáñez

Buffi²,

Murray³

et al. 2016

Computer Methods in Biomechanics and Biomedical Engineering

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“…The glove can be realized by means of optical devices (fiber optics [31], optical linear encoders [13]), acoustic devices (as in the Power Glove by Mattel), inertial devices (accelerometers [5], gyroscopes [29]), magnetic devices [16], electromagnetic devices (Hall effect, see Humanware Srl, Pisa, Italy), electrical devices (single [22] or array flex sensors [23]), etc. Different sensing principles led to different sensory gloves.…”

Section: Sensory Glove and Flex Sensorsmentioning

confidence: 99%

Feasibility of teleoperations with multi-fingered robotic hand for safe extravehicular manipulations

Saggio

Bizzarri

2014

Aerospace Science and Technology

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“…In order to capture the human hand's motion, researchers have developed many sensing methods in the past few decades. Besides the optical [4], acoustic and magnetic [10] sensing techniques, innovative techniques such as fiber-optic [3], strain gauge and hall-effect sensing are introduced. Nevertheless, these sensing methods still have rooms for improvement to achieve the stringent requirements from applications in various fields, such as the medicine, training, entertainment, and virtual reality.…”

Section: Introductionmentioning

confidence: 99%

Building Hand Motion-Based Character Animation: The Case of Puppetry

Luo

Chen

Yeo

et al. 2010

2010 International Conference on Cyberworlds

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Abstract-Automatic motion generation for digital character under the real-time user control is a challenging problem for computer graphic research and virtual environment applications such as on-line games. The present study introduces a methodology to generate a glove puppet animation which is controlled by a new input device, called the SmartGlove, capturing the hand motion. An animation system is proposed to generate the puppet animation based on the procedural animation and motion capture data from SmartGlove. As the control of the puppet character in the animation takes into account the design of SmartGlove and the operation of the puppet in reality, the physical hand motion can either activate the designed procedural animation through motion recognition or tune the parameters of the procedural animation to build the new puppet motion, which allows the direct user control on the animation. The potential application and improvement of the current animation system are also discussed.

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Development of a motion capture system for a hand using a magnetic three dimensional position sensor

Cited by 37 publications

References 0 publications

Across-subject calibration of an instrumented glove to measure hand movement for clinical purposes

Across-subject calibration of an instrumented glove to measure hand movement for clinical purposes

Feasibility of teleoperations with multi-fingered robotic hand for safe extravehicular manipulations

Building Hand Motion-Based Character Animation: The Case of Puppetry

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