Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Shoe Recognition Model with Floor Pressure Sens...
Search
yumulab
November 06, 2024
Research
0
60
Shoe Recognition Model with Floor Pressure Sensors (Slide)
2024年11月3日(日)〜7日(木)に開催されたSENSORCOMM2024の発表資料(スライド)
yumulab
November 06, 2024
Tweet
Share
More Decks by yumulab
See All by yumulab
非試合日の野球場を楽しむためのARホームランボールキャッチ体験システムの開発 / EC79-miyazaki
yumulab
0
37
Bluetooth Low Energyの海に潜る / Dive to Bluetooth Low Energy
yumulab
0
110
湯村研究室の紹介2025 / yumulab2025
yumulab
0
330
Proposal of an Information Delivery Method for Electronic Paper Signage Using Human Mobility as the Communication Medium / ICCE-Asia 2025
yumulab
0
260
研究室から社会へ 〜 情報科学でつなぐ科学技術コミュニケーション実践 / #CoSTEP20th
yumulab
0
110
A Proposal of an Information Delivery Method using Human Movement as a Communication Medium for Electronic Paper Signage / ICEC2025
yumulab
0
96
メタバース空間で対話相⼿に向かって⾃律移動するAIアバター『ノア』の開発 / EC2025-Oyamada
yumulab
0
230
足位置の視覚的提示による電子オルガンのペダル鍵盤演奏学習支援システムの提案 / EC2025-Hokin
yumulab
0
210
電子ペーパーサイネージにおける人の移動を通信媒介とした情報配送手法の提案 / EC2025-Akiba
yumulab
0
140
Other Decks in Research
See All in Research
2025-11-21-DA-10th-satellite
yegusa
0
140
LiDARセキュリティ最前線(2025年)
kentaroy47
0
330
「車1割削減、渋滞半減、公共交通2倍」を 熊本から岡山へ@RACDA設立30周年記念都市交通フォーラム2026
trafficbrain
1
820
AIを叩き台として、 「検証」から「共創」へと進化するリサーチ
mela_dayo
0
190
AIスーパーコンピュータにおけるLLM学習処理性能の計測と可観測性 / AI Supercomputer LLM Benchmarking and Observability
yuukit
1
770
英語教育 “研究” のあり方:学術知とアウトリーチの緊張関係
terasawat
1
640
2026年3月1日(日)福島「除染土」の公共利用をかんがえる
atsukomasano2026
0
470
CyberAgent AI Lab研修 / Social Implementation Anti-Patterns in AI Lab
chck
6
4.1k
Grounding Text Complexity Control in Defined Linguistic Difficulty [Keynote@*SEM2025]
yukiar
0
140
The mathematics of transformers
gpeyre
0
150
R&Dチームを起ち上げる
shibuiwilliam
1
200
Upgrading Multi-Agent Pathfinding for the Real World
kei18
0
540
Featured
See All Featured
Ecommerce SEO: The Keys for Success Now & Beyond - #SERPConf2024
aleyda
1
1.9k
How to Align SEO within the Product Triangle To Get Buy-In & Support - #RIMC
aleyda
1
1.5k
Deep Space Network (abreviated)
tonyrice
0
96
The Art of Programming - Codeland 2020
erikaheidi
57
14k
How People are Using Generative and Agentic AI to Supercharge Their Products, Projects, Services and Value Streams Today
helenjbeal
1
140
Gemini Prompt Engineering: Practical Techniques for Tangible AI Outcomes
mfonobong
2
330
Code Review Best Practice
trishagee
74
20k
Noah Learner - AI + Me: how we built a GSC Bulk Export data pipeline
techseoconnect
PRO
0
150
Are puppies a ranking factor?
jonoalderson
1
3.2k
Money Talks: Using Revenue to Get Sh*t Done
nikkihalliwell
0
190
BBQ
matthewcrist
89
10k
The B2B funnel & how to create a winning content strategy
katarinadahlin
PRO
1
310
Transcript
Shoe Recognition Model with Floor Pressure Sensors Sora Kamimura *1
Tetsuo Yutani *2 Atsuko Shibuya *2 Tsubasa Yumura *1 *1 Hokkaido Information University *2 FirstFourNotes, LLC <%FNP>
Table of contents #BDLHSPVOE1VSQPTF 1SFTTVSFTFOTPS .PEFM
%BUBTFUT 3FTVMU%JTDVTTJPO $PODMVTJPO
#BDLHSPVOE1VSQPTF 5SB ffi D fl PXBOBMZTJT #ZDBNFSB 4VSWFJMMBODFDBNFSBTDBOCFEJWFSUFE $BONBOBHFBMBSHFBSFBCZPOFDBNFSB *OWBTJPOPGQSJWBDZ
#MJOETQPUTDBVTFECZPCTUBDMFT ɾ*NQSPWFEXPSLF ffi DJFODZ ɾ"WPJESJTL DPMMJTJPOT GBMMT FUDʜ #Z fl PPSQSFTTVSFTFOTPS /PQSJWBDZJTTVF /PCMJOETQPUT
#BDLHSPVOE1VSQPTF 5SB ff i D fl PXBOBMZTJTCBTFE fl PPSQSFTTVSFTFOTPS SFRVJSFTJEFOUJ
fi DBUJPOPGQFPQMF )VNBOJEFOUJ fi DBUJPOVTFT XFJHIU TUSJEFMFOHUI TQFFE TIPFUZQF FUD *OUIJTTUVEZ XFEFWFMPQUIF TIPFSFDPHOJUJPONPEFMXJUI fl PPSQSFTTVSFTFOTPST
1SFTTVSFTFOTPS .BUFSJBMT ɾ7FMPTUBU QSFTTVSFTFOTJUJWFDPOEVDUJWFTIFFU ɾ$PQQFSGPJMUBQF ɾ"SEVJOP 4USVDUVSF ɾ$PQQFSGPJMUBQFTBSFNNXJEFBOE ɹTQBDFENNBQBSU ɾUBQFTCPUIWFSUJDBMMZBOEIPSJ[POUBMMZ
ɾNFBTVSFNFOUQPJOUT ɾ.FBTVSFUIFWPMUBHFBUFBDIQPJOUFWFSZNT
.PEFM ɾ5IF*OQVUMBZFSSFDFJWFTSBXEBUB ɾ5IFIJEEFOMBZFSJTUISFFGVMMZDPOOFDUFEMBZFS ɾ5IFPVUQVUMBZFSXJMMPVUQVUUIFTIPFJEFOUJ fi DBUJPOFTUBCMJTINFOU ɹ TOFBLFS SPPNTIPF BOETBOEBM
/FVSBMOFUXPSLNPEFM
%BUBTFUT )PXUPDPMMFDU $BMJCSBUJPOUIFTFOTPS 1VUPOTIPF 8BJUBGFXTFDPOET TPST
.FBTVSFNFOUT .FBTVSFNFOUTUJNFT JOFBDITIPF %BUB5ZQF ɾ&BDITFOTPS ʙ PS.FSHFE ɾ)PXMPOHXBJUGPSNFBTVSF TPST ɾ/PSNBMPS3PUBUFEEFHSFFTGPS ɹEBUBBVHNFOUBUJPO
3FTVMU ɾ5IF'NFBTVSFJOTJT ɹIJHIFSUIBOT ˠ7JCSBUJPOTBOEPUIFSOPJTFTJT ɹMFTTCZXBJUJOH ɾ*OTFDPOET UIF'NFBTVSFPG ɹNFSHFEEBUBJTIJHIFSUIBO ɹFBDITFOTPSEBUB ˠ5IFTFOTPSIBTBTFOTJUJWJUZCJBT
ɹ"OE NPEFMDBOUMFBSOJUCZ ɹFBDITFOTPSEBUB ɹ#VUMFBSOJOHCFDBNFQPTTJCMFCZ ɹNFSHFEEBUB 'NFBTVSF F = 2 × precision × recall precision + recall
$PODMVTJPO ɾ*OUIJTTUVEZ XFEFWFMPQFEUIFOFVSBMOFUXPSLNPEFMUPSFDPHOJ[F ɹTIPFUZQFTXJUI fl PPSQSFTTVSFTFOTPSXJUIB7FMPTUBU ɾ6TJOHBSPUBUFEEBUBTFUQSPWFEUPCFUIFNPTUF ff FDUJWFBQQSPBDIGPS ɹSFBMXPSMEBQQMJDBUJPOT
ɾ5IFSFBSFMBSHFEJ ff FSFODFCFUXFFOUIFFYQFSJNFOUBMFOWJSPONFOU ɹBOEUIFBTTVNFESFBMFOWJSPONFOU ɾ5IFSFBSFQSPCMFNTTVDIBTSFBDUJPOSBUFBOEBMMPXBCMFQSFTTVSF ɾ8FXJMMDPOUJOVFUPEFWFMPQCPUIIBSEXBSFBOETPGUXBSFUPTPMWF ɹUIFTFQSPCMFNT