2007 IEEE/ICME International Conference on Complex Medical Engineering 2007
DOI: 10.1109/iccme.2007.4381967
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Estimation of Intention of User Arm Motion for the Proactive Motion of Upper Extremity Supporting Robot

Abstract: This research aims at the estimation of intention of user arm motion supported by the wearable type robot on upper extremity for assisting to have meal. The algorithm or the estimation was proposed and verified by the experiments to investigate the gaze pattern at selecting food images.I.

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Cited by 6 publications
(6 citation statements)
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“…All of these data were preserved on an SD memory card and then read into a personal computer. 15,16 Subjects were given a full explanation of the experiment in advance, and consent was obtained. Subjects used uncorrected vision or wore soft contact lenses or glasses as needed, and their refraction was corrected to within AE0.25 diopter.…”
Section: Methodsmentioning
confidence: 99%
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“…All of these data were preserved on an SD memory card and then read into a personal computer. 15,16 Subjects were given a full explanation of the experiment in advance, and consent was obtained. Subjects used uncorrected vision or wore soft contact lenses or glasses as needed, and their refraction was corrected to within AE0.25 diopter.…”
Section: Methodsmentioning
confidence: 99%
“…The wavelength of the infrared light was 850 nm, whereas that of WAM‐5500 was 950 nm. All of these data were preserved on an SD memory card and then read into a personal computer …”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The wavelength of the infrared light was 850 nm. After data were preserved on an SD card, they were read into a personal computer [10,11].…”
Section: Emr-9mentioning
confidence: 99%
“…Also, there are some vision-based methods for controlling machines. For example, an upper extremity-supporting robot was developed using a system detecting gaze motion (Sakaki, 2007 and2009). A vision-based assisting robot for grasping daily goods was developed for bedridden patients (Kim et al, 2009).…”
Section: Introductionmentioning
confidence: 99%