Presentation	2017-07-27 RFID-Based Deep Shopping Data Acquisition Scheme with Machine Learning using Read Count and Variance of Phase as Features Shinichiro Aita, Hiromu Asahina, Kentaroh Toyada, Iwao Sasase,
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Abstract(in Japanese)	(See Japanese page)
Abstract(in English)
Keyword(in Japanese)	(See Japanese page)
Keyword(in English)
Paper #	CS2017-16
Date of Issue	2017-07-20 (CS)

Conference Information
Committee	CS
Conference Date	2017/7/27(2days)
Place (in Japanese)	(See Japanese page)
Place (in English)	Fukue Bunka Kaikan
Topics (in Japanese)	(See Japanese page)
Topics (in English)	Next generation networks, access network, broadband access system, power-line communications, wireless communication systems, coding system, etc.
Chair	Tetsuya Yokotani(Kanazawa Inst. of Tech.)
Vice Chair	Hidenori Nakazato(Waseda Univ.)
Secretary	Hidenori Nakazato(Kyushu Univ.)
Assistant	Kenji Kanai(Waseda Univ.) / Kazutaka Hara(NTT)

Paper Information
Registration To	Technical Committee on Communication Systems
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	RFID-Based Deep Shopping Data Acquisition Scheme with Machine Learning using Read Count and Variance of Phase as Features
Sub Title (in English)
Keyword(1)
1st Author's Name	Shinichiro Aita
1st Author's Affiliation	Keio University(Keio Univ.)
2nd Author's Name	Hiromu Asahina
2nd Author's Affiliation	Keio University(Keio Univ.)
3rd Author's Name	Kentaroh Toyada
3rd Author's Affiliation	Keio University(Keio Univ.)
4th Author's Name	Iwao Sasase
4th Author's Affiliation	Keio University(Keio Univ.)
Date	2017-07-27
Paper #	CS2017-16
Volume (vol)	vol.117
Number (no)	CS-156
Page	pp.pp.19-24(CS),
#Pages	6
Date of Issue	2017-07-20 (CS)