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北海道情報大学オープンキャンパス模擬講義「未来のコンピュータはどうやって使う?」 / HIUOC20210810

65241d0356dc5a93b0fec68bcf7b42ac?s=47 yumulab
August 10, 2021

北海道情報大学オープンキャンパス模擬講義「未来のコンピュータはどうやって使う?」 / HIUOC20210810

2021年8月10日に開催された北海道情報大学オープンキャンパス模擬講義「未来のコンピュータはどうやって使う?」の資料
Sli.do: https://app.sli.do/event/ruftysqh/live/questions

65241d0356dc5a93b0fec68bcf7b42ac?s=128

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August 10, 2021
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  1. ๺ւಓ৘ใେֶ ΦʔϓϯΩϟϯύε ໛ٖߨٛʢ৘ใϝσΟΞֶՊʣ 2021.08.10 ౬ଜ ཌྷ !"#$%&'()*+,-./0,1 23454678 3454:72;<=><?<;7@A7BA>C ࢿྉ͸Ξοϓϩʔυࡁ

    https://speakerdeck.com/yumulab /hiuoc20210810 ࣭໰͸Sli.do΁ https://app.sli.do/event/ruftysqh #HIU20210810
  2. !"#$%#&' • ৘ใϝσΟΞֶՊ঺հ • ະདྷͷίϯϐϡʔλʹ͍ͭͯͷߨٛ (35෼ఔ౓) • ࣭໰΁ͷճ౴ (15෼ఔ౓) 2

  3. ()*+,-./012345)678 3 εϚʔτϑΥϯ https://support.apple.com/ja-jp/HT207122 ϥοϓτοϓ (ϊʔτPC) https://www.sony.jp/vaio/ εϚʔτεϐʔΧʔ https://www.amazon.co.jp/ εϚʔτ΢Υον

    https://www.apple.com/jp/watch/ ήʔϜػ https://www.nintendo.co.jp/hardware/switch/onlineservice/ VRΰʔάϧ https://www.oculus.com/quest-2/
  4. 9:()*+,-./012345)678 4 Gatebox https://www.gatebox.ai/en/news/20180216 AirPods Pro https://www.apple.com/airpods-pro/ Akerun (εϚʔτϩοΫ) https://akerun.com/

    ೔࢈ ϓϩύΠϩοτ https://www2.nissan.co.jp/BRAND/PROPILOT/ Microsoft HoloLens https://www.microsoft.com/ja-jp/d /hololens-2-development-edition/92f64zpzzzd4 OptimEye S5 https://www.catapultsports.com/ ja/solutions/optimeye-s5
  5. !"#;1< • ʮະདྷͷίϯϐϡʔλ͸Ͳ͏΍ͬͯ࢖͏ʁʯ 5 ΩʔϫʔυɿʮΠϯλϑΣʔεʯ

  6. =.2>?1@AB • ڥքɿ • 1) ϋʔυ΢ΣΞΠϯλϑΣʔε • ػցͱػցͷڥք • USBɺHDMIͳͲ

    • 2) Application Programming Interface (API) • αʔόͱΫϥΠΞϯτͷڥք • ϝΠϯϓϩάϥϜͱϥΠϒϥϦͷڥք • 3) User Interface (UI) • Ϣʔβ(ίϯϐϡʔλΛ࢖͏ਓ)ͱίϯϐϡʔλͷڥք 6 ࣄ෺΍ྖҬͳͲΛ෼͚Δڥ໨ͷ͜ͱ ڥք - Wikipedia (2021/06/14Ӿཡ) ৘ใٕज़(IT)ͷੈքͰΑ͘ొ৔͢ΔΠϯλϑΣʔε͸
  7. (C(C,D1E=.2>?1@ 7

  8. FG,D1E=.2>?1@ • ΩʔϘʔυ • ίϯϐϡʔλͷ࠷΋Ұൠతͳೖྗ૷ஔͷͻͱͭ • ԡͨ͠ΩʔͷՕॴ͕௨ి͠(ిؾ͕ྲྀΕ)ɺిؾ৴߸ͷมԽʹΑͬͯจ ࣈೖྗΛ఻͑Δ • ήʔϜͷίϯτϩʔϥͳͲ΋ಉ͡࢓૊Έ

    • ON / OFF͕͸͖ͬΓ͍ͯ͠Δ 8 Ωʔτοϓ ಋిઢ
  9. HG#=.2>?1@IJIKLMN • Siri, Cortana, Amazon Echo(Alexa)ͳͲͰར༻ • Ի੠೾ܗ͔Β಺༰Λࣝผ • ๲େͳ੠ͷσʔλΛूΊɺ೾ܗ͔Βಛ௃ྔΛநग़͠ɺػցֶशͰ෼ྨ

    9 Ϗοάσʔλ
  10. HG#=.2>?1@IJIO?@PQMN • ήʔϜ΍σδλϧαΠωʔδ(ిࢠ؃൘)ͳͲͰར༻ • Χϝϥɺ੺֎ઢɺి೾ͳͲΛ࢖༻ 10 ਂ౓ηϯα (σϓεηϯαɺRGB-DΧϝϥ) ηϯα͔Β෺ମ·Ͱͷڑ཭Λଌఆ X-BOX༻ίϯτϩʔϥKinectͳͲ

    ϛϦ೾Ϩʔμʔ ϛϦ೾ͷ൓ࣹ৘ใ͔Β δΣενϟΛೝࣝ ग़యɿhttps://developer.microsoft.com/ja-jp/windows/kinect/ ग़యɿLien et al., Soli: Ubiquitous Gesture Sensing with Millimeter Wave Radar (2016)
  11. RSTU1V1IJIWXYZ • Google ATAP (ݚڀॴ) ͷϓϩδΣΫτ • রࣹͨ͠ϛϦ೾(60GHzి࣓೾)ͷ൓ࣹ৘ใ͔ΒࢦͷδΣενϟΛೝࣝ • Google

    Pixel 4 (2019೥ൃചAndroidεϚʔτϑΥϯ) ʹ౥ࡌ • ๲େͳσʔλΛूΊɺ೾ܗ͔Βಛ௃ྔΛநग़͠ɺػցֶशͰ෼ྨ͍ͯ͠Δ 11 ग़యɿWelcome to Project Soli https://youtu.be/0QNiZfSsPc0
  12. =.2>?1@#[\ • ੲɿ͸͖ͬΓͨ͠มԽ(ిؾ৴߸)ΛΠϯλϑΣʔεʹར༻ • ͍·ɿ೾ܗͷඍົͳมԽ౳ͷσʔλΛΠϯλϑΣʔεʹར༻ • ͦͷ伴ͱͳΔͷ͕ʮେྔͷֶशσʔλʯͱʮػցֶशʯ • ਓ͕ؒ൑ผͰ͖ͳ͍͜ͱ΋൑ผͰ͖Δ 12

    ػցֶशϞσϧ࡞੒
  13. ]^#-./012#=.2>?1@

  14. ]^#-./012#=.2>?1@ • ະདྷͷίϯϐϡʔλʹ͍ͭͯ஌Δʹ͸Ͳ͏͢Ε͹Α͍͔ʁ • ͍·࠷ઌ୺ͷݚڀΛݟΕ͹Θ͔Δʢ͔΋͠Εͳ͍ʣ • ࢲ͕΍ͬͨݚڀʹ͸ɹɹɹɹɹɹɹλάΛ͚ͭͯ·͢ 14 ࢲͷݚڀ

  15. _`ab@cU= • Follmer et al., inFORM: Dynamic Physical Affordances and

    Constraints through Shape and Object Actuation,(2013) • ཱମσΟεϓϨΠ 15
  16. cdef<gh,i • Rekimoto, Squama: A Programmable Window and Wall for

    Future Architectures (2012) • ಁա౓Λมߋ͢ΔϓϩάϥϚϒϧͳ૭ 16
  17. jZkZlmnTopqr-.sd1f • Qian et al., Inferring Motion Direction using Commodity

    Wi-Fi for Interactive Exergames (2017) • ಈ͍ͨࡍͷి೾ڧ౓ͷมԽΛར༻ͯ͠μϯϨϘ 17 https://youtu.be/-Snenj43hKA
  18. WXttXIuXvw • Kimura et al., SottoVoce: An Ultrasound Imaging-Based Silent

    Speech Interaction Using Deep Neural Networks (2019) • ੠Λग़ͣ͞ʹޱύΫΛ͢Δ͚ͩͰԻ੠ೖྗͰ͖Δ • ֺͷԼʹ͋ͯͨ௒Ի೾ΠϝʔδϯάϓϩʔϒͰσʔλऔಘ • Һ಄ো֐ɾ੠ଳػೳো֐޲͚ • ൃ੠Ͱ͖ͳ͍৔ॴ(ిं಺ͳͲ)Ͱͷ׆༻ 18 https://youtu.be/74VCUKXiT20
  19. xT • ೴೾ɿ೴׆ಈ(ిؾͷྲྀΕ)ʹΑΓੜ͡Δిؾ৴߸ͷ೾ • ೴೾ΛಡΈऔͬͯίϯϐϡʔλͷૢ࡞ʹར༻͢Δ • Brain-Machine Interface (BMI) •

    NextMind͕໿5ສԁͰങ͑Δ • ๲େͳσʔλΛूΊɺ೾ܗ͔Βಛ௃ྔΛநग़͠ɺػցֶशͰ෼ྨ͍ͯ͠Δ(͸ͣ) 19 https://www.next-mind.com/ ಈը: https://youtu.be/DTS-w4K8m08
  20. yz{|}~• • ిؾ৴߸Λ௚઀ಡΈऔΔ(৵ऻܕ)BMI΋ݚڀ͞Ε͍ͯΔ • ΠʔϩϯɾϚεΫࢯͷNeuralinkࣾ • ίϯϐϡʔλˠ೴ͷ৘ใ఻ୡ΋໨ࢦ͢ 20 Neuralink Progress

    Update, Summer 2020 https://youtu.be/DVvmgjBL74w
  21. €•‚ƒ2S.e • Hsu et al., Zero-Effort In-Home Sleep and Insomnia

    Monitoring using Radio Signals (2017) • ൓ࣹి೾Λ༻͍ͯਭ຾Λ؂ࢹ 21
  22. „…†‡.ˆ‰Š‹Œ•Ž• • Bayat et al., A Study on Human Activity

    Recognition Using Accelerometer Data from Smartphones (2014) • εϚʔτϑΥϯͷՃ଎౓ηϯαͰߦಈೝࣝ • 2005೥ࠒ(εϚʔτϑΥϯ͕ग़Δલʂ)͔Β͔͞Μʹ΍ΒΕ͍ͯΔݚڀ 22
  23. W•‘t’wtZvIWw‘“X”“ • Laput et al., Synthetic Sensors: Towards General-Purpose Sensing

    (2017) • Ոఉ಺ͰͷߦಈΛΧϝϥΛ࢖Θͣʹਪఆ • ϚΠΫɺ੺֎ઢηϯαɺՃ଎౓ηϯαɺ࣓ྗܭͳͲΛ౥ࡌͨ͠ηϯα 23 https://youtu.be/aqbKrrru2co
  24. s=U•s–1—1#˜™5šp›œ•• • ૔ڮΒ, τΠϨοτϖʔύͷճసʹجͮ͘τΠϨ࢖༻ऀࣝผख๏ (2017) • τΠϨοτϖʔύʔͷਊʹ֯଎౓ηϯαΛઃஔ͠ɺ5ͭͷಛ௃ྔ(࢖༻ྔɺ࣌ؒɺ଎౓ͷ ࠷େ஋ɺ଎౓ͷฏۉ஋ɺ଎౓ͷ෼ࢄ)͔Β࢖༻ऀΛਪఆ • ʮϓϥΠόγʔอޢʯͱʮ࢖༻ऀࣝผʯΛཱ྆

    24 http://cse.eedept.kobe-u.ac.jp/portfolio/tp_identi fi cation/
  25. žŸnN‚ƒ2S.e‰Š‹Œ• ¡ • ߴྛΒ, ਍அπʔϧΛ༻͍ͨεϚʔτλοϓͷফඅిྗ৘ใʹΑΔਓͷ ߦಈਪఆਫ਼౓ͷ࣮ূධՁ (2018) • εϚʔτλοϓͰऔಘͨ͠ফඅిྗྔ͔Βʮىচɺ֎ग़ɺؼ୐ɺब৸ʯ Λਪఆ

    25
  26. ¢£5gd•¤¥¦ • ৸ͯΔ͕࣌ؒ΋͍ͬͨͳ͍ → ༗ޮ׆༻ → ৸ͯΔؒʹήʔϜ • ίϯτϩʔϥͱͯ͠γϦίϯΩʔϘʔυΛϕουʹෑ͘ •

    ΩʔԡԼͰମͷҐஔΛݕ஌ • ৸ฦΓʹ߹Θͤͯόʔ͕Ҡಈ • ͜ΕΛ৸ͯΔؒʹϓϨΠ 26 ࢲͷݚڀ
  27. ¢£5gd•¤¥¦ 27 ࢲͷݚڀ

  28. §¨©ªw‘tw«¬•-Z‘© • PC΍εϚϗͷนࢴ͸ΧελϚΠζͰ͖Δ • ΩʔϘʔυ͸(ιϑτ΢ΣΞతʹ)ΧελϚΠζͰ͖ͳ͍ʂ • ө૾ΤϑΣΫτΛΩʔԡԼ࣌ʹ෇༩͠ɺλΠϐϯάମݧΛ֦ு 28 ࢲͷݚڀ

  29. ®’w¯°ªX±•²3³´µ¶o·¸¦¹³´oº»6‹¼@;½ • ಈըʹ߹ΘͤͯௐཧΛࢧԉ͢ΔγεςϜ • ྉཧಈը(ݟָͯ͠Ήɾ஌ࣝΛಘΔ)ʹௐཧػೳΛ௥Ճ • ࣗಈௐཧ૷ஔʹڠௐײΛ෇༩ • YouTuber΍ΞχϝͱͷίϥϘʹ࢖͑Δʁ 29

    ࢲͷݚڀ
  30. ¾•®§¿§±À$œ#ÁÂoÃÄÅšÆÇ6‹=.2f¤;bg,cUÈ.;1¼É. • ϓϨθϯςʔγϣϯ͸Ұํ޲ɿௌߨऀ΋ϦΞΫγϣϯ͍ͨ͠ • ௌߨऀ͕खݩͷϘλϯΛԡ͢ͱεΫϦʔϯલͷর໌৭͕มΘΔ • ௌߨऀ → ൃදऀ΁ͷϦΞΫγϣϯͷϑΟʔυόοΫ͕Ͱ͖Δ 30

    ࢲͷݚڀ
  31. }¿ÊnTo›(rË`ÂÌ™Í • ෱ౢ, ౬ଜΒ, Bluetooth Low Energyͷ൓ࣹి೾Λ༻͍ͨՈ ఉ಺Ͱͷੜମ৘ใऔಘ (2020) •

    Bluetooth Low Energyͷ൓ࣹి೾Λܭଌͯ͠ݺٵ਺Λܭଌ 31 ࢲͷݚڀ
  32. ÎÏBÐ#щ_Ò#8 • Θ͔Βͳ͍ (※ݚڀςʔϚʹΑΓ·͢) • 3೥ޙʹ໾ʹཱ͔ͭ΋͠Εͳ͍͠ɺ50೥ޙʹ໾ʹཱ͔ͭ΋͠Εͳ͍͠ɺ໾ ʹཱͨͳ͍͔΋͠Εͳ͍ • কདྷ໾ʹཱͭ΋ͷ͕Կ͔͸୭ʹ΋Θ͔Βͳ͍ •

    ඞཁʹͳ͔ͬͯΒݚڀͯ͠͸ؒʹ߹Θͳ͍ • ྫɿiPhone͕Ͱ͖Δͣͬͱલ͔ΒϚϧνλονͷݚڀ͸͞Ε͍ͯͨ 32 Rekimoto, SmartSkin: An Infrastructure for Freehand Manipulation on Interactive Surfaces (2002)
  33. КÎÏ6‹#8 • ਓྨʹͱͬͯ • ஌ࣝͷ֦େ • ͍ͭͲ͜ͰͲΜͳ஌͕ࣝ໾ʹཱͭͷ͔Θ͔Βͳ͍ • ࡂ֐ͳͲ •

    ৽͍ٕ͠ज़͕ੜ·ΕΔͱ๛͔ʹͳΔ • ࢿຊओٛͷ੒ཱ͸ٕज़ֵ৽͕લఏ • େֶੜʹͱͬͯ • ੜ্͖͍ͯ͘Ͱ໾ཱͭεΩϧΛຏ͘͜ͱ͕Ͱ͖Δ • ະ஌ͷঢ়ଶ͔Βௐ΂Δʢจݙௐࠪʣ • ஌ࣝͷ஍ਤΛඳ͘ʢ஌ࣝɾ৘ใͷ੔ཧʣ • ԾઆͷཱҊͱݕূ • ਓʹ఻͑Δʢจষͷॻ͖ํɺϓϨθϯςʔγϣϯʣ • ๺ւಓ৘ใେֶͰ͸3೥ੜ͔Βθϛ഑ଐ͞Ε·͢ 33
  34. Ó@@ÔÂÌÕ • Seamless • https://shiropen.com/ • Twitter: @shiropen2 • ITmedia

    https://www.itmedia.co.jp/author/225246/ • εΠοναΠΤϯεϚΨδϯ • https://mag.switch-science.com/ • Twitter: @ssci • YouTube https://www.youtube.com/user/SwitchScience • ແବͮ͘Γ / ౻ݪ ຑཬࡊ • https://www.youtube.com/user/mudadukuri • Twitter: @togenkyoo 34
  35. Ö×5‰ • ͍ΖΜͳઌੜ͕͍ΖΜͳݚڀΛ͍ͯ͠·͢ • ๺ւಓ৘ใେֶ΍ͦͷଞͷେֶͷWebαΠτΛௐ΂ͯΈ͍ͯͩ͘͞ • ࣭໰͸Sli.do΁ 35 23454678 3454:72;<=><?<;7@A7BA>C

    https://app.sli.do/event/ruftysqh