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
湯村研究室 2023 / yumulab2023
Search
yumulab
September 29, 2023
Research
1.1k
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
湯村研究室 2023 / yumulab2023
2023年9月29日(金)の情報メディア学IIIで紹介した湯村研究室の説明資料
yumulab
September 29, 2023
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
62
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
440
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
130
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
18
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
19
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
15
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
16
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
380
Other Decks in Research
See All in Research
XDPerf: A High-Performance Traffic Generator Built with WASM and eBPF
takehaya
1
310
Spatial Active Noise Control Based onSound Field Interpolation Incorporating Physical Constraints
skoyamalab
0
190
Cross-Media Human-Information Interaction
signer
PRO
0
240
論文読み会 SNLP2026 Tau2-Bench: Evaluating Conversational Agents in a Dual-Control Environment
s_mizuki_nlp
0
260
2026年 オープンキャンパス 研究室紹介
junkurihara
0
210
[WebDB2026]セレンディピティ指向推薦システム再考 ―セレンディピティの原義・類型・発生過程に基づく設計指針―
recsyslab
PRO
0
130
OWASP AISVS - C7
shiell
2
780
超効率化への挑戦:1bit LLMの現状と展望
yumaichikawa
0
730
CVPR2026論文紹介_VLMにとって良いvision encoderとは何か?Rethinking Model Selection in VLM Through the Lens of Gromov-Wasserstein Distance
kobayashi31
1
230
GLIM とMegaParticles:正規分布近似の限界とタイトカップリング&パーティクルフィルタの進展 / GLIM and MegaParticles : Progress of the distribution representation in SLAM
koide3
0
870
The story of RefactoringMiner. Slow research, long-term impact
tsantalis
0
160
研究室単位での自律的 IPv6接続性確立に向けたAS共同運用モデルの提案と実証
reokashiwa
PRO
0
220
Featured
See All Featured
The Art of Delivering Value - GDevCon NA Keynote
reverentgeek
16
2.2k
Mind Mapping
helmedeiros
1
370
Deep Space Network (abreviated)
tonyrice
0
320
Lightning talk: Run Django tests with GitHub Actions
sabderemane
0
260
A brief & incomplete history of UX Design for the World Wide Web: 1989–2019
jct
2
510
Building a Modern Day E-commerce SEO Strategy
aleyda
45
9.2k
The Director’s Chair: Orchestrating AI for Truly Effective Learning
tmiket
1
300
Making the Leap to Tech Lead
cromwellryan
135
10k
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
360
31k
Exploring the Power of Turbo Streams & Action Cable | RailsConf2023
kevinliebholz
37
6.6k
Design of three-dimensional binary manipulators for pick-and-place task avoiding obstacles (IECON2024)
konakalab
0
600
New Earth Scene 8
popppiees
4
2.6k
Transcript
湯村研究室の紹介 情報メディア学III 2023.09.29
!"#$%& • ࠓͷઆ໌ձʹ߹ΘͤͯInstagramΞΧϯτͭͬͨ͘Βɾɾɾ 2
'()* 3 • ౬ଜ ཌྷ (ΏΉΒ ͭ͞) @yumu19 / @yumulab
• ใϝσΟΞֶՊ ।ڭत (2021/04ʙ) • ઐใՊֶɺಛʹΠϯλϑΣʔεɺηϯγϯάɺIoTɺVRɺωοτϫʔΫ • ܦྺ • ࡳຈ։ߴֶߍ ଔۀ • ւಓେֶ ཧֶ෦ ٿՊֶՊ ଔۀ • ౦ژେֶେֶӃ ཧֶܥݚڀՊ ٿՊֶઐ߈ म࢜՝ఔ • ઌՊֶٕज़େֶӃେֶ ใՊֶݚڀՊ ใՊֶઐ߈ ത࢜՝ఔ • 2008-2011 גࣜձࣾ౦ࣳʢωοτϫʔΫՈిͷݚڀ։ൃͳͲʣ • 2011-2013 ΫδοτגࣜձࣾʢଌҐΞϓϦɺΠϯλϥΫςΟϒలࣔͷ։ൃɾPMͳͲʣ • 2013-2014 ϑϦʔϥϯεΤϯδχΞɾ߹ಉձࣾPhysVis දࣾһCEOʢiOSΞϓϦέʔγϣϯͷडୗ։ൃͳͲʣ • 2015-2021 ࠃཱݚڀ։ൃ๏ਓใ௨৴ݚڀػߏʢωοτϫʔΫςετϕουɺແઢωοτϫʔΫΤϛϡϨʔλͷݚڀͳͲʣ ࠷ۙͷझຯɿϚϥιϯ
+,-.& • ΘΓͱͳΜͰΞϦͰ͢ 4 ཧۭؒ ͱ αΠόʔۭؒ Λͭͳ͛Δ େςʔϚ ۩ମతͳ
ݚڀର • ਓͱίϯϐϡʔλͷ৽͍͠ΠϯλϑΣʔεΛͭ͘Δ • ཧۭؒΛηϯγϯάͯ͠σʔλΛऩू͠׆༻͢Δ • VRɾARɾϝλόʔε ͷ৽͍͠׆༻ํ๏ΛੜΈग़͢ • υϩʔϯ ͷҠಈମΛࣾձʹ׆༻͢Δ
/0+,1234 5 ٕज़ྗ ࣮ݱྗ ൃ৴ྗ ৽͍ٕ͠ज़ʹ෯͘৮Ε ख࣋ͪͷٕΛ૿͢ खΛಈ͔͢श׳Λ͚ͭ ΞΠσΞΛܗʹ͢ΔྗΛ ʹ͚ͭΔ
ͭͬͨ͘ͷΛ จষಈըʹ·ͱΊ ੈքʹൃ৴͢Δ ݚڀ׆ಈ Λ௨ͯ͡ ٕज़ྗ ࣮ݱྗ ൃ৴ྗ Λʹ͚Δ
!"#$%&'()*
/0+,156789:; 7 • ि1ճθϛφʔϧΛ։࠵ • 3,4ੜ߹ಉͰ࣮ࢪ εΩϧΞοϓθϛ ݚڀਪਐθϛ ΞΠεϒϨΠΫ θϛϛʔςΟϯά
<=>?@=A • ຖिͷθϛͷ಄ʹɺ୲ऀ(िସΓ)͕اը • ϓϨθϯςʔγϣϯɺϫʔΫγϣοϓ 8 Bڃөըͷհ ΪλʔͷΤϑΣΫλʔͷղઆ ؍༿২ͷקΊ
677.-BCD • ݚڀࣨɾθϛ׆ಈʹؔͯ͠ڞ༗ɾ૬ஊ͢Δ࣌ؒΛຖिઃ͚Δ • ఱࡇ४උͳͲ 9
>EF<GH67 • ৽͍ٕ͠ज़ͷ͍ํΛֶͿ → 2िؒޙʹ࡞ൃද • ͍αΠΫϧͰͷ࣮ྗΛʹ͚Δ (ؒͰ5αΠΫϧఔ) • ٕज़Λ෯͘Δ
/ ΞΠσΞΛܗʹ͢Δ / ࡞ͬͨͷΛਓʹ͑Δ • จষͷॻ͖ํจͷಡΈํֶͿ 10
>EF<GH675I5JKLMNOPQRSTPU 11 • ശͱઢΛͭͳ͍Ͱө૾ԻΛॲཧ͢ΔϏδϡΞϧϓϩάϥϛϯάπʔϧTouchDesigner DMXϜʔϏϯάϥΠτΛ੍ޚ ΦʔσΟΦεϖΫτϥϜ
>EF<GH675I5VWXYZM[ • ӷথɾϘλϯ͕͍ͨϚΠίϯϘʔυM5Stack ͰϓϩτλΠϓ։ൃ 12
>EF<GH675I5\]^_ • εϚϗͷηϯαϩΨʔΞϓϦΛͬͯऔಘͨ͠ 2छྨͷߦಈσʔλΛྨ͢ΔϞσϧΛ࡞ 13
>EF<GH675I5`ab.cBCD • 1ίϚͰจΛಡΜͰ֓ཁΛ·ͱΊΔ • ϖΞܗࣜɺάϧʔϓܗࣜʹ͢Δ͜ͱ͋Γ 14
+,de67 • ݚڀͷਐḿͷใࠂձ • ݚڀจͷհ • ࣭ɾίϝϯτScrapboxʹهೖͯ͠ଈ࣌ϑΟʔυόοΫ 15
+&,&-./01
^fgh • ଔۀݚڀͷՌΛൃද • ଔۀ·Ͱʹ1ʙ2ճఔൃද • ཱྀඅେֶ/ݚڀ͔ࣨΒࢧग़ 17 CSS2022@۽ຊ ΠϯλϥΫγϣϯ2023@౦ژ
IOTS2022@भ അ͠ ਫਬ͖
ij+,ghf5klm+nopq^5r0+s 18
tuf • ֶͰBBQ • ֶձͷଧ্ͪ͛ etc. 19
vGwxCyz>%C{B.F|}~••€•O~ 20 • ʮۦ͚Ҿ͖ʯΛςʔϚʹɺM5Stackͱp5.jsͰήʔϜ࡞ • ऴྃޙࢼ߹؍ઓ
^‚=ƒC„ 21 ϓϩδΣΫτɾτϥΠΞϧ ͷͮ͘Γθϛ ࠃࡍίϥϘϨʔγϣϯ(λΠ🇹🇭) ւ֎ࣄ(ΞϝϦΧ🇺🇸) ίωΫτ
^…=ƒC„ 22 DEMOLA ͑ͼͯ͘ (ओ࠵) MIERUNE BBQ NoMaps Happy Hacking
Sauna ώʔϩʔζϦʔά
^‚…†‡ˆ‰ • ఱࡇ (ˏθϛࣨ4) • ଔۀݚڀలࣔձ (2024/02/29-03/01ˏSCARTSϞʔϧ) 23
+,1Š‹ • ࿈བྷجຊશͯSlack (༗ྉ൛ͳͷͰফ͑ͳ͍) • ใڞ༗Scrapbox (ݱࡏ291ϖʔδ) • ࢿྉGoogle DriveͰڞ༗
• GoogleΧϨϯμʔͰ౬ଜͷ༧ఆΛڞ༗ 24
-.01
}VOŒa•Ž•=C•{‘.> • ϔουϚϯτσΟεϓϨΠʹ͓͚ΔࢦจࣈΛ༻͍ͨจࣈೖྗख๏ͷఏҊ • ใॲཧֶձΠϯλϥΫγϣϯ2022Ͱൃද 26 ٱอా ઍਘ͞Μ (2021ଔۀ) ΞϓϦ։ൃίϯςετ
ώʔϩʔζϦʔά2021 εϙϯαʔड
’“€”•–“%C„—.˜™š›œ•ž•ŸC • Meta Quest2ίϯτϩʔϥʹר͖͚ͭͯѲྗΛऔಘ͢Δϕϧτঢ়ηϯα • ใॲཧւಓγϯϙδϜ2023ߘࡁɺใॲཧֶձΠϯλϥΫγϣϯ2024Ͱൃද༧ఆ 27 Ԭ ल࠸͞Μ (4ੜ)
¡Z¢£P¤U¥•{BC¦.?@>@G„§¨©ª«c¬=> 28 ౻୩ སੜ͞Μ (4ੜ) • ϔϧεέΞػೳΛࡌͨ͠ΞΫηαϦͱͯ͠։ൃ • ϚΠίϯɺ৺ഥηϯαɺLEDʹΑ࣮ͬͯ •
ใॲཧւಓγϯϙδϜ2023ߘࡁɺใॲཧֶձΠϯλϥΫγϣϯ2024Ͱൃද༧ఆ
-®¯2H—°‘A±²C&G³CD2´µ2¶· • αφͷนʹө૾ΤϑΣΫτΛӨ͢ΔͱɺਓମͲͷΑ͏ͳӨڹΛͨΒ͔͢ௐࠪ • αφͰϓϩδΣΫλʔΛ༻͢ΔͨΊɺέʔεͷઃܭͱ࣮ • ใॲཧֶձΠϯλϥΫγϣϯ2024Ͱൃද༧ఆ 29 খઘ ᠳฏ͞Μ
(4ੜ)
¸¹ºcF».HCc.•™Œ¼½¾.¿ • ΦʔϓϯͳࢢϞσϧσʔλPLATEAUΛ༻͍ͨΧʔϨʔγϯάήʔϜΛ։ൃ • ϨʔγϯάήʔϜΛϓϨΠͯ͠Ͳͷࢢ͔Λਪଌ͢ΔࢢͯήʔϜΛධՁ • ใॲཧֶձΠϯλϥΫγϣϯ2023Ͱൃද 30 େ㛲 ଡ͞Μ
(2022ଔۀ)
–“ Gw.†ÀÁ • HMDͱλϒϨοτΛ༻͍ͨVRαοΧʔ࡞ઓ൫ 31
€LSÂPTYP¢J¥ÃRTS • ө૾ΤϑΣΫτΛΩʔԡԼ࣌ʹ༩͠ɺλΠϐϯάମݧΛ֦ு 32
Ä&.w • ֎ઢΛར༻ͨ͠2࣍ݩใϚʔΧ (ARϚʔΧɺQRίʔυ) • ϓϥΠόγʔʹྀͨ͠ใϚʔΧͷར༻͕Մೳɺ҉͍ॴͰ ͑Δ 33
ÅÆÇÈÉÊ+,™ËÌÊÍμϜ • ଐઆ໌αΠτ(Notion)ʹ4ੜͷϙελʔࡌͤͯ·͢ 34
ÐÑÒj+, • اۀͱͷڞಉݚڀ࣮ࢪ • ։ൃ୲ֶੜʹΞϧόΠτࢧڅ 35 First Four Notes߹ಉձࣾ͞·
ÓÑ+,-.&2ÔÕ3 • ͍ͣΕʹͤΑ͔ͬ͠Γ૬ஊͯ͠ํੑΛܾΊ·͢ • झຯ (εϙʔπɺԻָɺΞΠυϧ etc.) Λ͍͔ͨ͠ݚڀςʔϚେܴ • ݚڀରͷࣝݚڀ׆ಈʹ͓͚ΔڧྗͳثͱͳΔͷͰ
• ब৬͍ͨ͠اۀɾۀք͕ܾ·͍ͬͯΔ߹ʹɺͦΕߟྀͯ͠ब׆ʹ׆͔ͤΔςʔϚΛઃఆ͠·͢ 36 ֶੜͷΓ͍ͨςʔϚ ڭһ͕༻ҙͨ͠ςʔϚ ͲͪΒOKʂ
Ö€× 37 ֶձൃදͳΜͯɺࢲͰ͖Δͷʁ Ұ෦ͷֶ͍͢͝ੜ͔͠ൃදͰ͖ͳ͍ͷͰʁ ݱ4ੜ8ਓத5ਓֶձൃද͕ܾ·͍ͬͯͯɺ ଔۀ·ͰʹશһൃදͰ͖ͦ͏ͩΑɻ େৎɻݚڀʹඞཁͳٕज़ɺࣥචʹඞཁͳεΩ ϧɺεΩϧΞοϓθϛͰຏ͘ΑɻͪΖΜݸผʹ ࢦಋ͠·͢ɻ θϛφʔϧҎ֎ʹɺिʹ1ू·ͬͯݚڀ૬ஊΛ͢
ΔػձΛઃ͚͍ͯΔΑɻ
2345
ÌØÊÙÆÚÎÛÜ¼Ý • ݚڀͯ͠ɺจॻ͍ͯɺֶձൃද͍ͨ͠ਓ • େֶӃͷਐֶΛݕ౼͍ͯ͠Δਓ • ͷͮ͘Γ͕͖ͳਓ(ϋʔυΣΞɾιϑτΣΞΘͣ) • Πϕϯτͷ४උΛָ͠ΜͰऔΓΊΔਓ •
ࣗͷΞΠσΞݚڀ࡞Λੈքʹ͚ͯൃ৴͍ͨ͠ਓ • ະདྷΛͭ͘Γɺੈքʹ௺ࠟΛ͍ͨ͠ਓ 39
ະདྷΛ༧ଌ͢Δ࠷ળͷํ๏ɺͦΕΛൃ໌͢Δ͜ͱͩ The best way to predict the future is to
invent it. "MBO$VSUJT,BZ
ËÞ߯ • ʮΔͱ͖Δɺ༡Ϳͱ͖༡ͿʯͰָ͘͠׆ಈ͠·͠ΐ͏ • ৄࡉݚڀࣨ X @yumulab / WebαΠτ/ ଐઆ໌ϖʔδ
(Notion) ݟ͍ͯͩ͘͞ 41 315ݚڀࣨ ΦϑΟεΞϫʔ ݄ 12:00ʙ13:30 Ր 12:00ʙ13:30 ఱࡇɿθϛࣨ4 ݚڀࣨઆ໌ձ (⁋ݚڀࣨͱ߹ಉ) 11/20(݄) 12:15ʙ13:45ˏ204 ϚγϡϚϩͰ ࣭ड͚͚·͢