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dc.contributor.authorChang, Yi-Chunen_US
dc.contributor.authorChen, Tzu-Pinen_US
dc.contributor.authorYip, Bak Sauen_US
dc.contributor.authorChing, Yu-Taien_US
dc.date.accessioned2019-04-02T06:04:40Z-
dc.date.available2019-04-02T06:04:40Z-
dc.date.issued2017-01-01en_US
dc.identifier.urihttp://dx.doi.org/10.1109/CSCI.2017.297en_US
dc.identifier.urihttp://hdl.handle.net/11536/150948-
dc.description.abstractFinger trembling is a feature for neurodegenerative diseases. Accessing the trembling of fingers can help diagnosis or monitoring of progression of the disease. Currently, tremogram is used in the hospital to measure the trembling of a finger. Tremogram is a single and uniaxial acceleration gauge. Using the tremogram, only the trembling direction of a finger can be measured. The direction and the finger are determined by the physician. This work studied the possibility to employ the Leap Motion and the G-sensor/gyro to access the trembling of the five fingers. Experimental results demonstrated positive answers that a G-sensor/gyro system can access not just only those information obtained from the tremogram, we can derive more information.en_US
dc.language.isoen_USen_US
dc.subjectWearable Deviceen_US
dc.subjectFinger Tremblingen_US
dc.subjectMulti-Sensor Systemen_US
dc.subjectLeap Motionen_US
dc.subjectTremogramen_US
dc.titleUsing Multi-Sensor System for Measuring Finger Trembling, and Applied to Neurodegenerative Diseaseen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1109/CSCI.2017.297en_US
dc.identifier.journalPROCEEDINGS 2017 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI)en_US
dc.citation.spage1707en_US
dc.citation.epage1712en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.department生醫工程研究所zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.contributor.departmentInstitute of Biomedical Engineeringen_US
dc.identifier.wosnumberWOS:000455029500301en_US
dc.citation.woscount0en_US
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