Presentation 2019-02-20
On the fusion of activity recognition and indoor localization using a smartphone
Ryohei Nakajima, Takaki Hasegawa,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we propose a system that improves both estimation accuracy by combining activity recognition and indoor localization, and evaluate by experiment. The likelihood is the probability independently obtained from the position determination subsystem and the activity recognition subsystem, and the posterior probability is calculated from the prior probability distribution which is a certain location acting. In addition, in order to reduce the cost of site survey, we used the AP data acquired while walking, and examined the effects of radio map creation and walking direction. Experimental results showed that when fusion of activity recognition and indoor localization improves the performance of both. In addition, the localization performance of the radio map created by walking is influenced by the walking direction, and the activity recognition performance is not affected by the walking direction.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) activity recognition / indoor localization / smartphone sensor / neural network
Paper # ITS2018-77,IE2018-98
Date of Issue 2019-02-12 (ITS, IE)

Conference Information
Committee ITS / IE / ITE-MMS / ITE-HI / ITE-ME / ITE-AIT
Conference Date 2019/2/19(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Hokkaido Univ.
Topics (in Japanese) (See Japanese page)
Topics (in English) Image Processing, etc.
Chair Takayoshi Yokota(Tottori Univ.) / Takayuki Hamamoto(Tokyo Univ. of Science) / Norihiko Ishii(NHK) / Masayuki Sato(Kitakyushu Univ.) / Norio Tagawa(Tokyo Metropolitan Univ.) / Nobuhiko Mukai(Tokyo City Univ.)
Vice Chair Masahiro Fujii(Utsunomiya Univ.) / Tomotaka Wada(Kansai Univ.) / Hideaki Kimata(NTT) / Kazuya Kodama(NII) / / / Hiroyuki Arai(Nippon Institute of Technology) / Hisaki Nate(Tokyo Polytechnic Univ.)
Secretary Masahiro Fujii(Saitama Univ.) / Tomotaka Wada(Univ. of Tokyo) / Hideaki Kimata(KDDI Research) / Kazuya Kodama(Nagoya Univ.) / (NHK) / (NTT) / Hiroyuki Arai(NHK) / Hisaki Nate(Hokkaido Univ.)
Assistant Msataka Imao(Mitsubishi Electric) / Yanlei Gu(Univ. of Tokyo) / Kenshi Saho(Toyama Prefectural Univ.) / Kouichiro Hashiura(Akita Prefectural Univ.) / Kazuya Hayase(NTT) / Yasutaka Matsuo(NHK)

Paper Information
Registration To Technical Committee on Intelligent Transport Systems Technology / Technical Committee on Image Engineering / Technical Group on Multi-media Storage / Technical Group on Human Information / Technical Group on Media Engineering / Technical Group on Artistic Image Technology
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) On the fusion of activity recognition and indoor localization using a smartphone
Sub Title (in English)
Keyword(1) activity recognition
Keyword(2) indoor localization
Keyword(3) smartphone sensor
Keyword(4) neural network
1st Author's Name Ryohei Nakajima
1st Author's Affiliation Saitama University(Saitama Univ.)
2nd Author's Name Takaki Hasegawa
2nd Author's Affiliation Saitama University(Saitama Univ.)
Date 2019-02-20
Paper # ITS2018-77,IE2018-98
Volume (vol) vol.118
Number (no) ITS-449,IE-450
Page pp.pp.165-170(ITS), pp.165-170(IE),
#Pages 6
Date of Issue 2019-02-12 (ITS, IE)