Presentation 2017-03-10
Study of Vital Data Analysis Platform Using Wearable Sensor
Yoji Yamato,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we propose a vital data analysis platform which resolves existing problems to utilize vital data for real-time actions. Recently, IoT technologies have been progressed but in the healthcare area, real-time actions based on analyzed vital data are not considered sufficiently yet. The causes are proper use of analyzing methods of stream / micro batch processing and network cost. To resolve existing problems, we propose our vital data analysis platform. Our platform collects vital data of Electrocardiograph and acceleration using an example of wearable vital sensor and analyzes them to extract posture, fatigue and relaxation in smart phones or cloud. Our platform can show analyzed dangerous posture or fatigue level change. We implemented the platform and we are now preparing a field test.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) IoT / Wearable Sensor / Cloud Computing / Spark Streaming / Real-Time Processing
Paper # SC2016-34
Date of Issue 2017-03-03 (SC)

Conference Information
Committee SC
Conference Date 2017/3/10(1days)
Place (in Japanese) (See Japanese page)
Place (in English) National Institute of Informatics
Topics (in Japanese) (See Japanese page)
Topics (in English) Smart System Applications, etc.
Chair Incheon Paik(Univ. of Aizu)
Vice Chair Masahide Nakamura(Kobe Univ.)
Secretary Masahide Nakamura(NICT)
Assistant

Paper Information
Registration To Technical Committee on Service Computing
Language ENG-JTITLE
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Study of Vital Data Analysis Platform Using Wearable Sensor
Sub Title (in English)
Keyword(1) IoT
Keyword(2) Wearable Sensor
Keyword(3) Cloud Computing
Keyword(4) Spark Streaming
Keyword(5) Real-Time Processing
1st Author's Name Yoji Yamato
1st Author's Affiliation NTT Corporation(NTT)
Date 2017-03-10
Paper # SC2016-34
Volume (vol) vol.116
Number (no) SC-518
Page pp.pp.33-37(SC),
#Pages 5
Date of Issue 2017-03-03 (SC)