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Volumn 436, Issue , 2014, Pages 70-78

Fall detection using commodity smart watch and smart phone

Author keywords

Activity recognition; Ambient assisted living; Fall detection; Smart watch; Streaming data

Indexed keywords

ASSISTED LIVING; DATA HANDLING; DIGITAL STORAGE; PATTERN RECOGNITION; SMARTPHONES; WATCHES;

EID: 84921492931     PISSN: 18684238     EISSN: 1868422X     Source Type: Book Series    
DOI: 10.1007/978-3-662-44654-6_7     Document Type: Article
Times cited : (28)

References (12)
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  • 3
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    • West, J.1    Hippisley-Cox, J.2    Coupland, C.3    Price, G.4    Groom, L.5    Kendrick, D.6    Webber, E.7
  • 4
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    • Relationship between lower-extremity joint torque and the risk for falls in a group of community dwelling older adults
    • Robinson, B., Gordon, J., Wallentine, S., Visio, M.: Relationship between lower-extremity joint torque and the risk for falls in a group of community dwelling older adults. Physiotherapy Theory and Practice 20, 155–173 (2004)
    • (2004) Physiotherapy Theory and Practice , vol.20 , pp. 155-173
    • Robinson, B.1    Gordon, J.2    Wallentine, S.3    Visio, M.4
  • 5
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    • A survey on fall detection: Principles and approaches
    • Mubashir, M., Shao, L., Seed, L.: A survey on fall detection: Principles and approaches. Neurocomputing 100, 144–152 (2013)
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  • 7
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    • Emergency fall incidents detection in assisted living environments utilizing motion, sound, and visual perceptual components
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    • Doukas, C.N., Maglogiannis, I.: Emergency fall incidents detection in assisted living environments utilizing motion, sound, and visual perceptual components. IEEE Transactions on Information Technology in Biomedicine 15(2), art. no. 5623343, 277–289 (2011)
    • (2011) IEEE Transactions on Information Technology in Biomedicine , vol.15 , Issue.2 , pp. 277-289
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  • 10
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    • Advanced classification and rules based evaluation of motion, visual and biosignal data for patient fall incident detection
    • Doukas, C., Maglogiannis, I.: Advanced classification and rules based evaluation of motion, visual and biosignal data for patient fall incident detection. International Journal on Artificial Intelligence Tools, 175–191 (2010)
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  • 11
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    • Maglogiannis An, I.: Assistive environment for improving human safety utilizing advanced sound and motion data classification
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    • Doukas, C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.