Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
Shoe Recognition Model with Floor Pressure Sens...
Search
yumulab
November 06, 2024
Research
83
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
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
More Decks by yumulab
See All by yumulab
オープンキャンパス模擬講義 Webカメラを使ったインタラクティブWebアプリの開発 / oc2026
yumulab
0
68
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
470
MR流体を用いたセルフセンシング可能な触覚デバイスの提案 / haptics36-kamimura
yumulab
0
150
歌詞駆動パーティクルライブ制作支援ツールの提案 / wiss2025-kamimura
yumulab
0
19
人の移動を通信媒介とする電子ペーパーサイネージのための圧電素子を用いた近接駆動方式の提案 / wiss2025-akiba
yumulab
0
21
ASMR耳かき動画のための音と触覚の同時提示システムの提案 / wiss2025-shimizu
yumulab
0
18
地産地消型センシングに向けた植物の葉への電子回路形成の検討 / wiss2025-yumura
yumulab
0
17
Bluetooth Low Energyの海に潜る / Dive to Bluetooth Low Energy
yumulab
0
160
湯村研究室の紹介2025 / yumulab2025
yumulab
0
460
Other Decks in Research
See All in Research
大規模言語モデルは誰を覚えているか / Who Do Large Language Models Memorize?
upura
0
210
IA for theory
gpeyre
1
470
第64回CV・PRML勉強会 論文紹介:Linguistic Priors for Visual Decoupling: Towards Symmetric Vision-Brain Alignment
sokikatayama
0
240
[CV勉強会@関東 CVPR2026] PSDesigner: Automated Graphic Design with a Human-Like Creative Workflow / kantocv 67th CVPR 2026
shunk031
0
360
HackSick vol.7 LT資料【LLMアーキテクチャ入門・事前学習時の躓き所解説】 スパースなAttention・状態空間モデル
rikkabotan7
0
210
某助成金プロジェクト採択に向けて企業研究所のアウトリーチ専任者がやったこと
afroscript
0
190
Kunai: Toward a Verifier-Safe Layered DSL for Nested Encapsulation Packet Filtering on eBPF
takehaya
1
120
JPA2026_NetworkTutorial_JunKashihara
junkashihara
0
210
RS-Agent: Automating Remote Sensing Tasks through Intelligent Agent
satai
3
600
SAM3を用いたコマ・吹き出しの 領域検出と分割構造からの読み順推定
kzmssk
0
170
Physical AIでモデリングはどう変わるか/How Physical AI Will Change Modeling
stktu
0
290
最先端NLP 2026 論文紹介: Wait, Wait, Wait... Why Do Reasoning Models Loop? / SNLP Paper Review: Wait, Wait, Wait... Why Do Reasoning Models Loop?
tkng
0
250
Featured
See All Featured
Cheating the UX When There Is Nothing More to Optimize - PixelPioneers
stephaniewalter
287
14k
[RailsConf 2023] Rails as a piece of cake
palkan
59
7.1k
Rails Girls Zürich Keynote
gr2m
96
14k
Navigating Team Friction
lara
192
16k
Data-driven link building: lessons from a $708K investment (BrightonSEO talk)
szymonslowik
1
1.4k
VelocityConf: Rendering Performance Case Studies
addyosmani
331
25k
Primal Persuasion: How to Engage the Brain for Learning That Lasts
tmiket
0
490
What's in a price? How to price your products and services
michaelherold
247
13k
Statistics for Hackers
jakevdp
799
230k
Stop Working from a Prison Cell
hatefulcrawdad
274
21k
Abbi's Birthday
coloredviolet
4
10k
世界の人気アプリ100個を分析して見えたペイウォール設計の心得
akihiro_kokubo
PRO
74
42k
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