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
1
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
入浴時に映像が投影される一人用足湯システムの開発と運用 / ipsjhokkaido2024
yumulab
0
12
NNEPS: Network-Updated E-Paper Signage with Reduced Standby Power Consumption (Poster)
yumulab
0
17
NNEPS: Network-Updated E-Paper Signage with Reduced Standby Power Consumption (Slide)
yumulab
0
2
Shoe Recognition Model with Floor Pressure Sensors (Poster)
yumulab
0
12
湯村研究室の紹介2024 / yumulab2024
yumulab
0
360
Practices of Research and Education using Digital Fabrication Technologies
yumulab
0
17
Utilization of Fabrication Technology for Prototyping and Creation
yumulab
0
17
ASMR動画に合わせて撫でられる感覚を提示するシステムの検討
yumulab
0
37
SoundTimes:音のインスタレーション作品制作・展示プロジェクトの実施報告 / SoundTimes-EC2024
yumulab
0
19
Other Decks in Research
See All in Research
さんかくのテスト.pdf
sankaku0724
0
570
Large Vision Language Model (LVLM) に関する最新知見まとめ (Part 1)
onely7
22
5k
非ガウス性と非線形性に基づく統計的因果探索
sshimizu2006
0
450
論文紹介: COSMO: A Large-Scale E-commerce Common Sense Knowledge Generation and Serving System at Amazon (SIGMOD 2024)
ynakano
1
220
国際会議ACL2024参加報告
chemical_tree
1
360
Introducing Research Units of Matsuo-Iwasawa Laboratory
matsuolab
0
1.4k
VisFocus: Prompt-Guided Vision Encoders for OCR-Free Dense Document Understanding
sansan_randd
1
350
Weekly AI Agents News! 10月号 論文のアーカイブ
masatoto
1
420
CVPR2024 参加報告
kwchrk
0
130
20241115都市交通決起集会 趣旨説明・熊本事例紹介
trafficbrain
0
760
The Relevance of UX for Conversion and Monetisation
itasohaakhib1
0
120
TransformerによるBEV Perception
hf149
1
590
Featured
See All Featured
4 Signs Your Business is Dying
shpigford
182
21k
StorybookのUI Testing Handbookを読んだ
zakiyama
28
5.4k
The Illustrated Children's Guide to Kubernetes
chrisshort
48
49k
How to Ace a Technical Interview
jacobian
276
23k
Gamification - CAS2011
davidbonilla
80
5.1k
How GitHub (no longer) Works
holman
311
140k
Keith and Marios Guide to Fast Websites
keithpitt
410
22k
GitHub's CSS Performance
jonrohan
1031
460k
BBQ
matthewcrist
85
9.4k
Being A Developer After 40
akosma
89
590k
Into the Great Unknown - MozCon
thekraken
34
1.5k
Bootstrapping a Software Product
garrettdimon
PRO
305
110k
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