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೥݄೔ɹɹ٠஑ඦ߹ࢠ ετϨεܭଌํ๏ͷཱ֬ʹ޲͚ͨ ϚϧνϞʔμϧσʔλͷ׆༻

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ݚڀ֓ཁ औΓ૊Έ͍ͨ͜ͱ ٸੑ৺ཧతετϨεΛɺਖ਼֬ʹܭଌ͢Δ ٸੑ৺ཧతετϨεɿετϨεཁҼ͕਎ମ΁ͷ௚઀తͳ൓ԠΛҾ͖ى͜͢छྨͷετϨε<> طଘݚڀͷ໰୊఺ ԿΛࢦඪͱ͢Ε͹ετϨεΛਖ਼֬ʹܭଌͰ͖Δͷ͔ɺ໌Β͔Ͱͳ͍ ຊݚڀͷΞϓϩʔν ਎ମʹੜ͡Δෳ਺ͷ൓ԠΛ༻͍ͯɺετϨεΛݕग़ɾ෼ੳ 

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ݚڀͷഎܠ w ετϨεʹؔ࿈͢Δࣾձɾҩֶ໰୊ͷɺੈքతͳ֦େ ɾʮ೰Έ΍ετϨε͋Γʯͱճ౴͢Δਓɿશମͷ൒਺Ҏ্<> w ͔͠͠ɺޮՌతͳετϨεϨϕϧͷϞχλϦϯάํ๏͸ͳ͍ ɾετϨεܭଌػثͷਖ਼֬ੑ͕ෆे෼<> ˠετϨεΛਖ਼֬ʹܭଌͰ͖ΔΑ͏ʹͳΕ͹ w ཧ࿦తߩݙɿετϨεܭଌํ๏ͷཱ֬ɺܭଌਫ਼౓ͷ޲্ w ࣮຿తߩݙɿҩֶతͳΞϓϩʔν 

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ݚڀͷ໨త ٸੑ৺ཧతετϨεͷܭଌํ๏ͷཱ֬ w ෳ਺ͷੜཧֶత൓Ԡͱߦಈత൓ԠΛܭଌɾ෼ੳ w ετϨεϨϕϧͷࢦඪͱͳΔ൓ԠΛղ໌ 

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ετϨεܭଌݚڀͷݱঢ় w ετϨεʹΑͬͯɺੜମ಺ͷ෺࣭͕มԽ<> w ετϨεൃੜΛ֬ೝͰ͖Δ w ଣӷ΍݂ӷΛ࠾औˠ࣮༻తͰͳ͍ w ෺࣭มԽ͕ൃੜͨ݁͠Ռɺແҙࣝͷ൓Ԡ͕ൃੜ<> ᶃ ੜཧֶత൓Ԡɿ਎ମͷࣗવͳੜ෺ֶతมԽ ᶄ ߦಈత൓Ԡɿߦಈ΍ৼΔ෣͍ͷมԽ ˠ൓ԠΛܭଌ͢Δ͜ͱͰɺετϨεΛݕग़͢ΔࢼΈ ֎෦͔ΒͷετϨεཁҼ ੜମ಺ͷ෺࣭มԽ ੜཧֶత൓Ԡ ߦಈత൓Ԡ ܭଌ͸ ࣮༻తͰͳ͍  ൓ԠΛܭଌͯ͠ ετϨεݕग़ʁ

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ᶃੜཧֶత൓ԠɿετϨεʹΑͬͯมԽΛࣔ͢൓Ԡ͸ଟ͍  ɾෳ਺ͷੜཧֶత൓ԠΛ࢖༻͢Δඞཁੑ<> ɾͲͷ൓Ԡͷ૊Έ߹ΘͤͰ ɹޮՌతʹܭଌͰ͖Δ͔͸໌Β͔Ͱͳ͍ ൽෘԹ౓ ৺ഥ਺ ৺ഥมಈ཰ ے׆ಈ ݺٵ ݂ӷͷྲྀΕ ൽෘిؾ׆ಈ ೴׆ಈ ɹੜཧֶత൓Ԡɹ

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ᶄߦಈత൓ԠɿมԽ͸ࣔ͢΋ͷͷɺετϨεΛܭଌՄೳʁ  ɾਖ਼֬ੑ͕๡͍͠ ɾੜཧֶత൓Ԡͱͷ૊Έ߹ΘͤʹΑͬͯ ɹਖ਼֬ੑ͕޲্͢ΔՄೳੑ<> ࿩͠ํ ද৘ ΩʔϘʔυΛଧͭڧ͞ ·͹͖ͨ δΣενϟʔ ܞଳͷ࢖༻ύλʔϯ ࢟੎ ੠ ɹߦಈత൓Ԡɹ

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ઌߦݚڀʹ͓͚Δ՝୊ ετϨεͷڞ௨ͨ͠ܭଌํ๏͕ɺ໌֬ʹఆ·͍ͬͯͳ͍ ࢦඪΛ૊Έ߹ΘͤΔ͜ͱͷ༗ޮੑ͕ٞ࿦͞Ε͍ͯΔҰํͰɺ w ੜཧֶత൓Ԡ w Ͳͷ૊Έ߹ΘͤͰ͋Ε͹ɺετϨεΛ࠷΋ޮՌతʹܭଌͰ͖Δ͔͸໌Β͔Ͱͳ͍ w ߦಈత൓Ԡɿ w Ͳͷߦಈతࢦඪ͕ಛʹετϨεͷӨڹΛड͚Δ͔͸ղ໌தͷஈ֊ w ੜཧֶతࢦඪͱͷ૊Έ߹Θͤͷݚڀ͸΄ͱΜͲ͞Ε͍ͯͳ͍ 

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w ෳ਺ͷੜཧֶత൓Ԡͱߦಈత൓ԠΛܭଌɾ෼ੳ w ετϨεςετɿձ࿩λεΫ w ෼ੳɿػցֶश<>ɺਂ૚ֶश<> ຊݚڀͷΞϓϩʔν  ද৘ ൃ࿩಺༰ ੠ͷେ͖͞ɺߴ͞ ൽෘԹ౓ ৺ഥ ൽෘ఻ಋੑ ݺٵ ݂ӷͷྲྀΕ ے೑ͷిؾ৴߸ ے೑ͷಈ͖ ɹੜཧֶత൓Ԡɹ ɹߦಈత൓Ԡɹ ੜཧֶతηϯαʔʹΑͬͯऔಘͰ͖Δ ײ৘ਪఆʹ࢖ΘΕ͖࣮ͯͨ੷<>

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ݚڀͷखॱɹϚϧνϞʔμϧܭଌͨ͠σʔληοτͷ࡞੒ ᶃ ඃݧऀʹετϨεςετΛ࣮ࢪ w ಺༰ɿ໛ٖ໘઀λεΫ w ςετதʹੜཧֶత൓Ԡͱߦಈత൓ԠΛऔಘ w ੜཧֶత൓Ԡɿ֤छηϯαʔ w ߦಈత൓ԠɿΧϝϥɺϚΠΫ ᶄ ऴྃޙɺετϨεʹؔ͢ΔΞϯέʔτ<>ʹճ౴  ᶃ ᶄ

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ݚڀͷखॱɹࢉग़ͱධՁ ᶅ ݸʑͷ൓Ԡʹجͮ͘ಛ௃ྔͷநग़ w ൓ԠͲ͏͠ͷجຊతͳؔ܎ੑ΍ύλʔϯΛ෼ੳ ᶆ ૊Έ߹Θͤ෼ੳ w ༗๬ͳಛ௃ྔΛ૊Έ߹Θͤͯ৽ͨͳಛ௃ྔΛநग़ ᶇ ෼ྨλεΫͷ࣮ࢪ w ετϨεͷߴ͞ɿߴɾதɾ௿ w Ξϯέʔτ݁Ռͱͷൺֱ  ൓ԠC ൓ԠD ൓ԠE B Fಛ௃ྔ ൓ԠF ൓ԠB ෼ྨ݁Ռ ෼ྨ݁Ռ ෼ྨ݁Ռ ෼ྨλεΫ ᶅ ᶆ ᶇ

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·ͱΊ  औΓ૊Έ͍ͨ͜ͱ ձ࿩தʹൃੜ͢Δٸੑ৺ཧతετϨεΛɺޮՌతʹܭଌ͢Δํ๏Λ໌Β͔ʹ͢Δ ˠෳ਺ͷੜཧֶత൓Ԡͱߦಈత൓ԠΛ૊Έ߹ΘͤͯɺετϨεΛܭଌɾ෼ੳ͢Δ ◾ຊݚڀͷ৽نੑ w ੜཧֶత൓Ԡͱߦಈత൓ԠΛ૊Έ߹ΘͤͨετϨεܭଌ w ػցֶशͱਂ૚ֶशΛ༻͍ͨ෼ੳ w ετϨεςετͱͯ͠ձ࿩λεΫΛબఆ

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ࢀߟจݙ [1] Arza, Adriana, Jorge Mario Garzón-Rey, Jesús Lázaro, Eduardo Gil, Raul Lopez-Anton, Conchita de la Camara, Pablo Laguna, Raquel Bailon, and Jordi Aguiló. 2019. “Measuring Acute Stress Response through Physiological Signals: Towards a Quantitative Assessment of Stress.” Medical & Biological Engineering & Computing 57 (1): 271–87. [2] Giorgos Giannakakis , Dimitris Grigoriadis, Katerina Giannakaki , Olympia Simantiraki , Alexandros Roniotis , and Manolis Tsiknakis. 2022/1. “Review on Psychological Stress Detection Using Biosignals.” IEEE TRANSACTIONS ON AFFECTIVE COMPUTING 13 (1): 440–60. [3] ૯຿ল౷ܭہ. “ࠃຽੜ׆جૅௐࠪ ྩ࿨ݩ೥ࠃຽੜ׆جૅௐࠪ ݈߁ શࠃฤ ”. e-Stat ౷ܭͰݟΔ೔ຊ. 2019. https://www.e-stat.go.jp/dbview? sid=0003442290. (ࢀর 2023-12-29) [4] Gagnon, Joel, Michelle Khau, Léandre Lavoie-Hudon, François Vachon, Vicky Drapeau, and Sébastien Tremblay. 2022. “Comparing a Fitbit Wearable to an Electrocardiogram Gold Standard as a Measure of Heart Rate Under Psychological Stress: A Validation Study.” JMIR Formative Research 6 (12): e37885. [5] Shruti Gedam, Sanchita Paul. 2021. “A Review on Mental Stress Detection Using Wearable Sensors and Machine Learning Techniques.” IEEE Access 9: 84045–66. 

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ࢀߟจݙ [6] Giorgos Giannakakis , Dimitris Grigoriadis, Katerina Giannakaki , Olympia Simantiraki , Alexandros Roniotis , and Manolis Tsiknakis. 2022/1. “Review on Psychological Stress Detection Using Biosignals.” IEEE TRANSACTIONS ON AFFECTIVE COMPUTING 13 (1): 440–60. [7] Alberdi, Ane, Asier Aztiria, and Adrian Basarab. 2016. “Towards an Automatic Early Stress Recognition System for Office Environments Based on Multimodal Measurements: A Review.” Journal of Biomedical Informatics 59 (February): 49–75. [8] Ԭాকޗ. 2022. “ʮ͋ͳͨ͸ର࿩Λָ͠ΜͰ͍·͔͢ʁʯ ʔର࿩ʹ͓͚Δ಺໘ঢ়ଶਪఆͷ՝୊ͱల๬ʔ.” [9] Pramod Bobade, Vani M. 2020. “Stress Detection with Machine Learning and Deep Learning Using Multimodal Physiological Data.” 2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA), September, 51–57. [10] Healey, J. A., and R. W. Picard. 2005. “Detecting Stress during Real-World Driving Tasks Using Physiological Sensors.” IEEE Transactions on Intelligent Transportation Systems 6 (2): 156–66. 

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ઌߦݚڀ

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୯ମͷੜཧֶత൓ԠͰ෼ੳλεΫΛ࣮ࢪ w ൽෘͷిؾతಛੑʢ&%"ʣΛܭଌͯ͠ετϨεݕग़ w ετϨεͱͷ૬͕ؔଞͷࢦඪΑΓ΋༏Ε͍ͯΔͱ൑அ w طଘݚڀͷ໰୊఺ w ೔ৗ࢖༻ʹ͓͚Δ&%"৴߸ͷϊΠζͳͲʹΑΔԚછ w ෼ྨͷܭࢉίετ w ܭଌɿ୯Ұηϯαʔ w ෼ੳɿٸੑετϨεঢ়ଶ෼ྨͷͨΊͷॲཧνΣʔϯΛఏҊ w ϊΠζʹରͯ͠ؤৎʹઃܭ w ଟΫϥε෼ྨΛ࣮૷  Greco, Alberto, Gaetano Valenza, Jesus Lazaro, Jorge Mario Garzon-Rey, Jordi Aguilo, Concepcion de la Camara, Raquel Bailon, and Enzo Pasquale Scilingo. 2023. “Acute Stress State Classification Based on Electrodermal Activity Modeling.” IEEE Transactions on Affective Computing 14 (1): 788–99. &%"ʢൽෘిؾ׆ಈʣ৴߸͕DWY&%"ʹΑͬͯॲཧ͓Αͼ෼ղ͞Εɺ ͦͷ݁ՌಘΒΕͨ৴߸͔Βಛ௃நग़͕ߦΘΕΔ

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ෳ਺ͷੜཧֶత൓ԠΛܭଌ͠ɺެ։σʔληοτΛ࡞੒  Schmidt, Philip, Attila Reiss, Robert Duerichen, Claus Marberger, and Kristof Van Laerhoven. 2018. “Introducing WESAD, a Multimodal Dataset for Wearable Stress and Affect Detection.” In Proceedings of the 20th ACM International Conference on Multimodal Interaction, 400–408. ICMI ’18. New York, NY, USA: Association for Computing Machinery. w ෳ਺ͷੜཧֶత൓ԠΛܭଌ ݂ӷ༰ੵ຺೾ɺ৺ిਤɺൽෘిؾ׆ಈ ےిਤɺݺٵɺମԹɺࡾ࣠Ճ଎౓ܭ w ܭଌػث 3FTQJ#"/1SPGFTTJPOBM &NQBUJDB& w σʔληοτʮ8&4"%ʯͱͯ͠ެ։ w ຊݚڀͷΞϓϩʔν w 8&4"%ʹؚ·Ε͍ͯͳ͍൓Ԡ΋ܭଌ͍ͨ͠ w ݕূʹ8&4"%ͷσʔλΛ༻͍Δ͜ͱ΋ݕ౼ σʔληοτΛެ։͠ɺ͜ͷσʔληοτΛ׆༻ͨ͠ݚڀ͕ల։͞Ε͍ͯΔ Ҿ༻ɿIUUQTVCJDPNQFUJVOJTJFHFOEFIPNFEBUBTFUTJDNJ

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ੜཧֶత൓Ԡͱߦಈత൓ԠΛ૊Έ߹ΘͤͨࢼΈ  Bahar Shahidi, Ashley Haight, Katrina Maluf, Differential effects of mental concentration and acute psychosocial stress on cervical muscle activity and posture, 2013, Journal of Electromyography and Kinesiology, volume23 issue5, pp1082-1089 ʢ্ʣԻ੠৴߸ͷΤωϧΪʔϨϕϧ ʢԼʣൽෘిҐԠ౴ʢ(43ʣͷڻ͖൓Ԡͷྫ w Ի੠ͱൽෘిྲྀԠ౴৴߸ʢ(43ʣΛ࢖༻ͨ͠෼ྨλεΫ w Ի੠σʔλ͸ൃ࿩ಛੑΛ൓өɺ(43͸ੜཧֶత൓Ԡ w Ծઆɿ૊Έ߹ΘͤΔͱɺΑΓ৴པੑͷߴ͍ετϨεݕग़ʁ w ݁Ռɿ୯ମͰͷ෼ྨλεΫ͸੒ޭɺ૊Έ߹Θͤ͸ࣦഊ w Ի੠ͱ(43ͷಛ௃Λ༻͍ͨ෼ྨث͸ɺਫ਼౓Λେ෯ʹվળͰ͖ͣ w ຊݚڀͷΞϓϩʔν w σʔλ෼ੳٕज़ͷ޲্ w ηϯαʔٕज़ͷվળ

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ؔ࿈ࢿྉ

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ೖֶޙͷϓϥϯͱݚڀεέδϡʔϧ ɹઌߦݚڀͷௐࠪଓߦɺݚڀͷج൫ͱͳΔ஌ࣝͷशಘ ɹࢉఆํ๏͓ΑͼධՁํ๏ͷ֬ఆɺݚڀܭըॻఏग़ ɹॳճ࣮ݧ ɹ෼ੳ ɹதؒใࠂ ɹֶձఏग़ ɹम࢜࿦จఏग़ 

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ݚڀઃܭ w ՝୊ɿҰ౓ͷ࣮ݧ͚ͩͰ͸ҰൠԽ͠ʹ͍͘ w ࣮ݧͷ֦ுɿඃݧऀ܈ͷଟ༷Խɺ࣮ݧʹ͓͚ΔλεΫͷଟ༷Խɺෳ਺ͷϞσϧΛ༻͍ͨଟ֯తͳ෼ੳ w σʔληοτͷެ։ɿ8&4"%ͷΑ͏ʹσʔληοτΛެ։͢Δ w ˠଞͷݚڀऀ͕σʔλΛ࢖༻͠ɺίϥϘϨʔγϣϯΛଅਐʴ࠶ݱੑͱಁ໌ੑΛ޲্ w ໨ඪɿˋͷඃݧऀʹରͯ͠͸ˋΛ௒͑Δ w ੜମ৴߸͕σόΠεʹ৐Βͳ͍ඃݧऀ΋ग़ͯ͘ΔͨΊɺશһ͸ෆՄೳ w ࠷௿Ͱ΋ˋͷ༗ҙࠩΛ௒͑Δ͜ͱ͕৚݅ w ൃలɿ·ͣ͸ܭଌਫ਼౓ͷ޲্Λ໨ࢦ͢ w ࣮ݧൣғͷ֦େɿҟͳΔ݈߁ঢ়ଶͷඃݧऀ΍ɺҟͳΔ؀ڥ৚݅ԼͰͷσʔλऩू w σόΠεͷ։ൃɿݚڀڠྗΛ௨ͯ͡ɺࢦඪͱͳΔ൓ԠΛશͯܭଌͯ͠σʔλΛ෼ੳͰ͖ΔσόΠεͷ։ൃ 

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ετϨεܭଌݚڀʹ͓͚Δ໰୊఺ w άϥϯυτΡϧʔεʢετϨεͷ༗ແΛධՁ͢ΔͨΊͷج४஋ʣΛͲ͏ઃఆ͢Δͷ͔ʁ w ࣮ݧͰ͸ετϨεͷ஌֮ɾߦಈɾੜཧత൓Ԡͷ٬؍తɾओ؍తͳଌఆʹج͍ͮͯఆٛ͞ΕΔ w άϥϯυτΡϧʔεͷਪఆʹओ؍తͳόΠΞεؚ͕·ΕΔ w ࣮ݧ؀ڥͱ೔ৗੜ׆ͷҧ͍ w ೔ৗͷετϨοαʔ͸ΑΓෳࡶͰɺੑ֨ͷଆ໘΋ؚΉՄೳੑ w ೔ৗੜ׆Ͱͷܭଌʹ͓͚ΔϊΠζ΍ΞʔςΟϑΝΫτͷӨڹ w ݚڀؒͷൺֱͷࠔ೉͞ w ڞ௨ͨ͠ϓϩτίϧ͸ͳ͍ ˠ͜ͷΑ͏ͳ՝୊Λ๊͑ͳ͕Βɺૢ࡞͕ෆՄೳͰ৴པੑͷߴ͍ɺ٬؍తͳଌఆ๏Λݟ͚ͭΔ͜ͱ͕໨ࢦ͞Ε͍ͯΔ  Giorgos Giannakakis , Dimitris Grigoriadis, Katerina Giannakaki , Olympia Simantiraki , Alexandros Roniotis , and Manolis Tsiknakis. 2022/1. “Review on Psychological Stress Detection Using Biosignals.” IEEE TRANSACTIONS ON AFFECTIVE COMPUTING 13 (1): 440–60.

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ෳ਺ͷ৴߸Λ૊Έ߹ΘͤΔ্Ͱ૝ఆ͞ΕΔ՝୊ w ํ๏࿦తͳোน w ෼ੳνΣʔϯ͕ҟͳΔෳ਺ͷ৴߸Λɺ෼ੳϑϨʔϜϫʔΫʹ౷߹͢Δ೉͠͞ w σʔλͷෳࡶੑ w ૊Έ߹ΘͤʹΑΓɺσʔλॲཧͷ෼ੳͷෳࡶੑΛߴΊΔ w ϦΞϧλΠϜॲཧͷࠔ೉͞ w ํ๏࿦ཱ͕֬ͯ͠΋ɺ೔ৗੜ׆Ͱɺෳ਺ͷ৴߸ΛϦΞϧλΠϜͰॲཧ͠෼ੳ͢Δ೉қ౓ͷߴ͞ w ૷ணͷෆศ͞ͱίετ w ෳ਺ͷηϯαʔʹΑΓ૷ணͷෆศ͕͞૿͠ɺඃݧऀͷߦಈΛ๦͛Δ  Greco, Alberto, Gaetano Valenza, Jesus Lazaro, Jorge Mario Garzon-Rey, Jordi Aguilo, Concepcion de la Camara, Raquel Bailon, and Enzo Pasquale Scilingo. 2023. “Acute Stress State Classification Based on Electrodermal Activity Modeling.” IEEE Transactions on Affective Computing 14 (1): 788–99.

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ετϨεͷఆٛͱ෼ྨ w ετϨε w ఆٛɿ਎ମ΍৺ཧʹର͢Δ֎తͳཁҼʹΑͬͯੜ͡Δʮଛইͱ๷ޚͷ૬ޓ࡞༻ʯʢ4FMZFʣ w ओʹަײਆܦܥʹΑͬͯҾ͖ى͜͞ΕΔ w ετϨεϗϧϞϯʢίϧνκʔϧʣɿ৺ཧతετϨεͷ৴པͰ͖ΔόΠΦϚʔΧʔʢ4NJSUIZ.FUBMʣ w ˠ؊ଁʹάϧίʔεΛ์ग़ͤ͞ɺΤωϧΪʔΛڙڅ w ˠଉ੾Εɺ৺ഥ਺ͷ૿Ճɺے೑ͷۓுɺ݂ѹͷ্ঢɺײ֮ͷဏਐΛҾ͖ى͜͢ w ෼ྨʢ&QFMFUBMʣ w ٸੑ৺ཧతετϨεɿ௨ৗ͸਺෼͔Β਺࣌ؒʹΘͨͬͯൃੜ w ຫੑ৺ཧతετϨεɿ௕ظؒʹΘͨͬͯൃੜɻظؒ͸ඇৗʹ෯޿͍  Selye H., 1950, “Stress and the General Adaptation Syndrome,” British Medical Journal, 1 (4667): 1383–92. Epel, Elissa S., Alexandra D. Crosswell, Stefanie E. Mayer, Aric A. Prather, George M. Slavich, Eli Puterman, and Wendy Berry Mendes. 2018. “More than a Feeling: A Unified View of Stress Measurement for Population ɹ ɹScience.” Frontiers in Neuroendocrinology 49 (April): 146–69. Smirthy M, Dhanushree M, Ashisha G R. 2023. “Investigation of Machine Learning Techniques and Sensing Devices for Mental Stress Detection.”

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ݱࡏࢢൢ͞Ε͍ͯΔετϨεܭଌσόΠεͷݶք w 'JUCJU w खटʹ૷ண͢Δ࿹࣌ܭܕͷ΢ΣΞϥϒϧσόΠε w ൽෘిؾ׆ಈηϯαʔʴ৺ഥ਺ɾ৺ഥมಈɾਪఆൽෘԹ౓ͷܭଌ w ˠݱஈ֊Ͱ͸ɺ৺ిਤͳͲͷΰʔϧυελϯμʔυͷଌఆ஋ͱͷҰக౓͸ߴ͘ͳ͍ʢ(BHOPOʣ  fitbit Inc. “fitbit”. fitbit,. https://www.fitbit.com/global/jp/technology/stress, ʢࢀর 2024-01-02ʣ Gagnon, Joel, Michelle Khau, Léandre Lavoie-Hudon, François Vachon, Vicky Drapeau, and Sébastien Tremblay. 2022. “Comparing a Fitbit Wearable to an Electrocardiogram Gold Standard as a Measure of Heart Rate Under Psychological Stress: A Validation Study.” JMIR Formative Research 6 (12): e37885.

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ετϨεܭଌʹ͓͍ͯɺෳ਺ͷ৘ใΛߟྀ͢Δ༗ޮੑ w ୯ҰͰ͸ʮετϨεʹؔ࿈͢Δ͢΂ͯͷॏཁͳ৘ใΛଊ͑Δ͜ͱ͕Ͱ͖ͳ͍Մೳੑʯʢ(JPSHPTʣ w ˠෳ਺ͷੜମ৴߸ͷ૊Έ߹ΘͤʹΑͬͯɺετϨεΛΑΓਖ਼֬ʹཧղͰ͖Δ w ͳͥ୯ҰΑΓෳ਺ͷ൓ԠΛ༻͍ͨ΄͏͕ɺετϨεΛΑΓਖ਼֬ʹཧղͰ͖Δͷ͔ʁʢ)FMMIBNNFS %)ʣ w ετϨεʹର͢Δݸਓͷ಺෦తͳॲཧͷෳࡶ͞ w ྫɿੜཧֶత൓Ԡͱ৺ཧֶత൓Ԡ w ྆ऀ͸ʮ͠͹͠͹૬ؔ͠ͳ͍͔ɺऑ͘૬ؔ͢Δʯ w ͲͪΒ͕ਖ਼͍͔͠ˠͲͪΒ΋ʮਖ਼͍͠ʯͱߟ͑Δͷ͕ଥ౰ w ޓ͍ʹิ׬తͳ৘ใΛఏڙ͍ͯ͠Δ w ετϨεͷશମ૾ΛΑΓਂ͘ཧղ͢ΔͨΊʹɺ྆ऀΛߟྀʹೖΕΔ͜ͱ͕ॏཁ  Giorgos Giannakakis , Dimitris Grigoriadis, Katerina Giannakaki , Olympia Simantiraki , Alexandros Roniotis , and Manolis Tsiknakis. 2022/1. “Review on Psychological Stress Detection Using Biosignals.” IEEE TRANSACTIONS ON AFFECTIVE COMPUTING 13 (1): 440–60 Hellhammer, D. H., Stone, A. A., Hellhammer, J., & Broderick, J. 2010. “Measuring Stress.” 2010.

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ࠓճͷݚڀͰબ୒ͨ͠ੜཧֶత൓Ԡͷৄࡉͱɺબ୒ͷཧ༝ Giorgos Giannakakis , Dimitris Grigoriadis, Katerina Giannakaki , Olympia Simantiraki , Alexandros Roniotis , and Manolis Tsiknakis. 2022/1. “Review on Psychological Stress Detection Using Biosignals.” IEEE TRANSACTIONS ON AFFECTIVE COMPUTING 13 (1): 440–60. ৄࡉ બ୒ཧ༝ ൽෘԹ౓ ετϨεԼͰɺ͋Δ෦෼͸Թ౓্͕ঢ͠ɺଞͷ෦෼͸ Թ౓͕௿Լ͢ΔɻࢦઌɺखͷͻΒͳͲͰܭଌ͞ΕΔɻ ɾ͢ͰʹσόΠεʹ࠾༻͞Ε͍ͯΔࢦඪɻ ɾଟ͘ͷݚڀ͕͋Γɺ࣮֬ੑ͕ߴ͍ͱͷධՁɻ ৺ഥ ετϨεঢ়ଶͰ৺ഥ਺͕େ෯ʹ૿Ճɻ਎ମͷଈ࣌൓Ԡ ͕൓ө͞ΕΔɻ৺ഥ਺มಈʹ΋Өڹɻ ɾ৺ഥ਺͸ଟ͘ͷݚڀ͕͋Γɺ࣮֬ੑ͕ߴ͍ͱͷධՁɻ ɾ৺ഥมಈੑ΋ετϨε༧ଌʹ͓͍ͯ༗༻ͱͷࢦఠɻ ݂ӷͷྲྀΕ ετϨε͕৺݂؅ػೳʹӨڹΛ༩͑ɺ݂ྲྀ΍ѹྗΛม Խͤ͞Δɻ ɾετϨεʹΑΔੜཧతมԽɺಛʹ৺݂؅ͷ݈߁Λཧղ ͢Δͷʹ༗༻ɻ ݺٵ ετϨεঢ়ଶͰݺٵύλʔϯ͕มԽɻ ɾετϨεϨϕϧΛ௚઀ࣔ͠ɺײ৘ঢ়ଶΛධՁ͢Δͷʹ ໾ཱͭɻ ൽෘ఻ಋੑ ൽෘΛ௨ΔిؾͷྲྀΕΛܭଌɻ؍࡯Ͱ͖ͳ͍ྔͷൃ׼ Ͱ΋ൽෘͷిؾ఻ಋ཰͕มԽ͢ΔՄೳੑ͕͋Δɻ ɾײ৘తͳ֮੧ʹහײͰɺ৺ཧతετϨεΛݕग़͢Δͷ ʹޮՌతɻ ے೑ͷిؾ৴߸ ے೑ͷ׆ಈిҐͷه࿥Λ௨ͯ͡ɺے೑ͷػೳͱۓுΛ ධՁ͢Δख๏ɻےిਤʹΑͬͯܭଌɻ ɾಛʹߴۓுঢ়گͰͷ਎ମతετϨε൓Ԡʹؔ͢Δ৘ใ Λఏڙ͢Δɻ ے೑ͷಈ͖ ےมҐηϯαʔʹΑͬͯے೑ͷಈ͖΍ҐஔͷมԽΛܭ ଌ͠ɺے೑ͷۓு౓߹͍Λݕग़͢Δɻ ɾछྨͷதͰ࠷΋ݚڀ͕গͳ͍ɻ ɾҰํͰɺηϯαʔͷൃୡʹΑΓܭଌ͕Մೳʹͳͬͨɻ 

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ࠓճͷݚڀͰબ୒ͨ͠ߦಈత൓Ԡͷৄࡉͱɺબ୒ͷཧ༝  Giorgos Giannakakis , Dimitris Grigoriadis, Katerina Giannakaki , Olympia Simantiraki , Alexandros Roniotis , and Manolis Tsiknakis. 2022/1. “Review on Psychological Stress Detection Using Biosignals.” IEEE TRANSACTIONS ON AFFECTIVE COMPUTING 13 (1): 440–60. Ԭాকޗ. 2022. “ʮ͋ͳͨ͸ର࿩Λָ͠ΜͰ͍·͔͢ʁʯ ʔର࿩ʹ͓͚Δ಺໘ঢ়ଶਪఆͷ՝୊ͱల๬ʔ.” ৄࡉ બ୒ཧ༝ ੠ͷେ͖͞ɾߴ͞ ετϨεঢ়ଶͰݺٵ཰ͷ্ঢʹΑΓɺ੠ͷେ͖͞ ΍ϐονɺൃ࿩ͷ଎౓ʹӨڹΛ༩͑Δɻ ɾԻ੠ʹΑΔετϨεݕग़͸௕ظؒݚڀ͞Ε͖ͯͨ ɾ0QFO4.*-&ϞσϧΛ࢖༻ͯ͠ಛ௃ྔΛܭࢉՄೳ ൃ࿩಺༰ ετϨεঢ়ଶͷਓ͸ɺ৘ใ͕๛෋ͳ෦෼Λڧௐ͠ ͯ࿩͢܏޲͕͋Δɻ ɾ#&35ϞσϧΛ࢖༻ͯ͠ಛ௃ྔΛܭࢉՄೳ ද৘ ຊਓ͕ແ֮ࣗʹײ৘Λ൓ө͍ͯ͠Δύϥϝʔλͱ ͯ͠ɺײ৘ਪఆʹଟ͘༻͍ΒΕ͖ͯͨɻ ɾ0QFO'BDFΛ࢖༻ͯ͠ಛ௃ྔΛܭࢉՄೳ ɾετϨεݕग़ʹ͸͋·Γ࢖ΘΕͯ͜ͳ͔ͬͨͨΊɺ৽ ͨͳࢦඪͱͳΓ͏ΔՄೳੑ

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બ୒͠ͳ͔ͬͨ൓Ԡͷ୅දྫͱཧ༝  ৄࡉ બ୒͠ͳ͔ͬͨཧ༝ ࡾ࣠Ճ଎౓ ετϨεϨϕϧʹӨڹ͞ΕΔ਎ମͷಈ͖ ΍ৼಈΛܭଌ͢Δɻ ɾ׆ಈྔ͕ଟ͍ঢ়گͰ͸৴པੑʹӨڹΛड͚ΔՄೳੑ͕͋Δ ɾ೔ৗੜ׆ͷಈ࡞ͱ۠ผ͢Δͷ͕೉͍͠ ಏ޸ܘ ಏ޸ͷେ͖͕͞ετϨε΍ෆ҆ͷϨϕϧ Λ൓ө͢ΔՄೳੑ͕͋Δɻ ɾ೥ྸɺੑผɺর໌৚݅ͳͲʹΑͬͯಏ޸αΠζ͕େ͖͘มΘΓɺ ࢦඪͱͯ͠࢖༻͢Δͷ͕ࠔ೉Ͱ͋Δͱ൑அͨͨ͠Ίɻ ೴೾ ετϨεϨϕϧʹؔ࿈͢Δ೴ͷ׆ಈΛܭ ଌ͢Δɻ ɾ૷ஔ͕େ͕͔ΓͰɺ࣮༻తͰͳ͍ ɾ෼ੳ͕ෳࡶʹͳΓ΍͍͢ ݂ӷྔѹ ετϨεʹ൓Ԡͯ͠มԽ͢Δ৺݂؅ܥͷ ൓ԠͷҰͭɻ ɾ਎ମͷಈ͖΍֎෦؀ڥͷӨڹΛड͚΍͍͢ ໨ͷಈ͖ɾ·͹͖ͨ ετϨε͸໨ͷػೳ΍ߦಈʹӨڹΛ༩͑ Δͱߟ͑ΒΕɺ·͹͖ͨͷස౓͕૿Ճɻ ɾද৘෼ੳʹΑͬͯΧόʔՄೳ Giorgos Giannakakis , Dimitris Grigoriadis, Katerina Giannakaki , Olympia Simantiraki , Alexandros Roniotis , and Manolis Tsiknakis. 2022/1. “Review on Psychological Stress Detection Using Biosignals.” IEEE TRANSACTIONS ON AFFECTIVE COMPUTING 13 (1): 440–60.

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w Ұൠతʹଟ͘બ୒͞Ε͍ͯΔετϨεςετ w ܭࢉɺ҉هɺεϐʔνɺӡసγϛϡϨʔγϣϯɺྫྷਫਁ௮ͳͲ w ઌߦݚڀʹ͓͚Δձ࿩λεΫ w ର࿩ΤʔδΣϯτͱͷ૬ޓ࡞༻ʹ͓͚ΔετϨεϨϕϧͷมԽΛଌఆʢ%BUBSʣ w ༧૝ʹ൓ͯ͠ɺର࿩ΤʔδΣϯτͱͷ૬ޓ࡞ۀʹετϨε൓ԠΛࣔ͞ͳ͔ͬͨ w ˠର࿩ΤʔδΣϯτ͔ͩΒʁࢀՃऀ͕ΤʔδΣϯτʹૣ͘׳Ε͔ͨΒʁ w ೔ৗੜ׆ʹ͓͚ΔετϨεΛҾ͖ى͜͢ձ࿩Λݕग़͠ɺετϨε൓Ԡͱͷ૬ؔΛ෼ੳ w ετϨεձ࿩Λݕग़͢ΔετϨεձ࿩ͷ۩ମతͳ಺༰͕໌Β͔ʹ͞Εͣ w ຊݚڀͰ͸ͳͥձ࿩λεΫΛબ୒͢Δͷ͔ʁ w εϐʔνλεΫͱҧ͍ɺϦΞϧλΠϜͷ૬ޓ࡞༻͕͋Δɻײ৘తͳ൓Ԡ͕ෳࡶͰมಈ͠΍͍͢ɻ w ˠετϨεԠ౴ͷΑΓৄࡉͳཧղΛ΋ͨΒ͢Մೳੑ͕͋Δ ҰൠతͳετϨεςετͷ಺༰ͱɺձ࿩λεΫΛબΜͩཧ༝  Datar, Shreya, Libby Ferland, Esther Foo, Michael Kotlyar, Brad Holschuh, Maria Gini, Martin Michalowski, and Serguei Pakhomov. 2022. “Measuring Physiological Markers of Stress during Conversational Agent Interactions.” In AI for Disease Surveillance and Pandemic Intelligence, 247–65. Studies in Computational Intelligence. Cham: Springer International Publishing. Bari, Rummana, Md Mahbubur Rahman, Nazir Saleheen, Megan Battles Parsons, Eugene H. Buder, and Santosh Kumar. 2020. “Automated Detection of Stressful Conversations Using Wearable Physiological and Inertial Sensors.” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 4 (4).

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ηϯαʔʹΑΔੜཧֶత൓Ԡͷܭଌ  Empatica Inc. “Meet EmbracePlus, the E4 wristband’s next-gen successor”. Emphatic. https://www.empatica.com/research/e4/, ʢࢀর 2024-01-02ʣ Tamaki, Emi, Satoshi Hosono, and Ken Iwasaki. 2019. “FirstVR: A Muscle Deformation Sensors Array Device to Detect Finger Gestures and Noise Reduction Case.” In Proceedings of the 2019 2nd International Conference on Electronics, Communications and Control Engineering, 21–24. ICECC ’19. New York, NY, USA: Association for Computing Machinery. Schmidt, Philip, Attila Reiss, Robert Duerichen, Claus Marberger, and Kristof Van Laerhoven. 2018. “Introducing WESAD, a Multimodal Dataset for Wearable Stress and Affect Detection.” In Proceedings of the 20th ACM International Conference on Multimodal Interaction, 400–408. ICMI ’18. New York, NY, USA: Association for Computing Machinery. ʲ&NQBUJDB&ʳ w खट΍࿹ʹ૷ண w ݂ӷྔ຺ഥηϯαʔɺࡾ࣠Ճ଎౓ηϯαʔɺ ൽෘిؾ৴߸ηϯαʔɺ੺֎ઢαʔϞύΠϧ w ˠൽෘిؾ׆ಈɺ৺ഥ਺ɺ݂ӷͷྲྀΕɺൽ ෘԹ౓ ʲ'JSTU73ʳʢ5BNBLJʣ w ࿹΍;͘Β͸͗ͳͲʹ૷ணՄೳ w ےऩॖ࣌ʹےுྗΛܭଌ w ˠখن໛ͳے೑ͷಈ͖ w ૐ๧ےʹ૷ணՄೳ͔Λࢼ͢ ʲ3FTQJ#"/1SPGFTTJPOBMʳ w ڳʹ૷ண w Ճ଎౓ܭͱݺٵηϯαʔʴ࠷େͭͷ ௥ՃϞμϦςΟͷϋϒͱͯ͠ػೳ w ˠݺٵʴے೑ͷిؾ৴߸ʢ௥Ճʣ

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ٸੑ৺ཧతετϨεͷܭଌʹ༻͍ΔΞϯέʔτ  Healey, J. A., and R. W. Picard. 2005. “Detecting Stress during Real-World Driving Tasks Using Physiological Sensors.” IEEE Transactions on Intelligent Transportation Systems 6 (2): 156–66. Schmidt, Philip, Attila Reiss, Robert Duerichen, Claus Marberger, and Kristof Van Laerhoven. 2018. “Introducing WESAD, a Multimodal Dataset for Wearable Stress and Affect Detection.” In Proceedings of the 20th ACM International Conference on Multimodal Interaction, 400–408. ICMI ’18. New York, NY, USA: Association for Computing Machinery. w άϥϯυτΡϧʔεͷઃఆͱͯ͠ඃݧऀͷओ؍తͳධՁΛ༻͍͍ͯΔݚڀ͸ଟ͍ w ӡసதͷࣗ෼ͷετϨεΛओ؍తʹධՁ͢ΔΞϯέʔτʢ)FBMFZ+"ʣ w ϑϦʔεέʔϧධՁʢετϨεΛʙͷεέʔϧͰධՁʣɺڧ੍ϥϯΩϯάධՁʢʙͷεέʔϧͰϥϯΫ෇͚ʣ w ϙδςΟϒɾΞϯυɾωΨςΟϒɾΞϑΣΫτɾεέδϡʔϧʢ1"/"4ʣ w ͷϙδςΟϒ߲໨ͱͷωΨςΟϒ߲໨͔ΒͳΔΞϯέʔτ w γϣʔτɾετϨεɾεςʔτɾΫΤενϣφϦʔʢ4442ʣ w ඃݧऀ͕ͲͷλΠϓͷετϨεʢ৺഑ɺؔ༩ɺۤ೰ʣΛ࠷΋ڧ͘ײ͍ͯ͡Δ͔Λಛఆ w ຊݚڀͰͷΞϯέʔτɿ)FBMFZ+"ʢʣͷΞϯέʔτͱɺ4442Λ౿ऻ w ໛ٖ໘઀ͷ৔߹͸ϙδςΟϒΑΓ΋ωΨςΟϒΛײ͡ΔՄೳੑ͕ߴ͍ w ओ؍తʹײͨ͡ετϨελΠϓʹΑͬͯมԽΛࣔ͢൓Ԡ͕ҟͳΔͷ͔Λݕূ͍ͨ͠ w ຊݚڀʹ͓͍ͯɺΞϯέʔτʹ൓ө͞Εͳ͍ετϨεΛͲ͏ߟ͑Δ͔ w Ξϯέʔτʹద߹͠ͳ͍݁Ռ͕͋Δ৔߹ɺҟৗ஋ͷ෼ੳΛݕ౼͢Δ w ΠϯλϏϡʔͷΑ͏ͳ࣭తௐࠪΛऔΓೖΕɺݸʑͷετϨεମݧΛΑΓৄࡉʹଊ͑Δ

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࢖༻ΞϧΰϦζϜͱλεΫͷબఆ w ͳͥػցֶशΛ࢖͏ͷ͔ʁɿੜମ৴߸σʔλͷෳࡶͳύλʔϯΛղੳ͠ɺετϨεϨϕϧΛਖ਼֬ʹࣝผ͢ΔͨΊ w ࢖༻༧ఆͷΞϧΰϦζϜ w ػցֶशɿ47.ʢαϙʔτϕΫλʔϚγϯʣ w σʔλΛ෼ྨ͢ΔͨΊʹߴ࣍ݩۭؒʹ͓͚Δ࠷దͳڥքΛݟ͚ͭΔΞϧΰϦζϜ w ෼ྨ໰୊ʹڧ͘ɺগྔͷσʔλͰ΋ߴ͍ύϑΥʔϚϯεΛൃش w ετϨεݕग़ʹ͓͍ͯɺଞͷػցֶशΞϧΰϦζϜΑΓ΋ಛʹ༗ޮ w ਂ૚ֶशɿ"//ʢਓ޻χϡʔϥϧωοτϫʔΫʣ w ਓؒͷ೴ͷػೳΛ໛฿͠ɺσʔλॲཧͱύλʔϯೝࣝʹ࢖༻͞ΕΔΞϧΰϦζϜ w େن໛ͳσʔληοτ͕ඞཁ͕ͩɺసҠֶशʹΑͬͯখن໛σʔληοτͰ΋෼ੳՄೳ w ͳͥ෼ྨλεΫͱͯ͠ॲཧ͢Δͷ͔ʁ w ετϨεܭଌ͸ɺجຊతʹճؼλεΫͰ͸ͳ͘෼ྨλεΫͱͯ͠ॲཧ͞ΕΔέʔε͕ଟ͍ w ࢦඪ΋୯Ґ΋ఆ·͍ͬͯͳ͍ஈ֊ͳͷͰɺ࿈ଓ஋ͰͷଌఆΑΓɺਖ਼֬ͳ෼ྨΛ༏ઌ  Pramod Bobade, Vani M. 2020. “Stress Detection with Machine Learning and Deep Learning Using Multimodal Physiological Data.” 2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA), September, 51–57.

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ػցֶशͱਂ૚ֶशΛ༻͍ͨσʔλ෼ੳͷεςοϓ   σʔλͷऩूͱલॲཧ  ݸผ൓Ԡɿಛ௃ྔͷબఆͱநग़  ݸผ൓Ԡɿ֤൓Ԡͷಛੑཧղˠ૬ؔ෼ੳʢج४஋ɿΞϯέʔτ݁Ռʣ  ݸผ൓ԠɿػցֶशϞσϧͷߏஙˠϞσϧͷग़ྗղऍͱϑΟʔυόοΫ  ෳ਺൓Ԡɿ༗๬ͳಛ௃ྔΛ૊Έ߹ΘͤΔʢج४஋ɿΞϯέʔτ݁Ռʣ w গ਺ͷ൓ԠΛબ୒࣮ͯ͠ݧˠ௥Ճͷ൓Ԡͷ૊ΈࠐΈˠ༗ޮͳ൓ԠΛશͯ૊Έ߹Θ࣮ͤͯݧ  ෳ਺൓Ԡɿ૊Έ߹Θͤͨಛ௃ྔΛ༻͍ͯɺ৽ͨͳػցֶशϞσϧΛτϨʔχϯά  ෳ਺൓ԠɿϞσϧͷ࠶ධՁɺৄࡉͳσʔλղੳ  ෼ྨλεΫɿ࠷ऴతͳಛ௃ྔͷ૊Έ߹ΘͤΛ༻͍ͯɺετϨεϨϕϧΛ෼ྨ  ෼ྨλεΫɿ݁ՌͷධՁɺղऍͱԠ༻Մೳੑͷߟ࡯

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ߦಈతࢦඪͷಛ௃ྔநग़ʹ༻͍ΔϞσϧ w ੠ɿ0QFO4.*-& w ΦʔϓϯιʔεͷԻ੠நग़Ωοτ w ଟ༷ͳԻ੠هड़ࢠΛαϙʔτ  Baltrusaitis, Tadas, Amir Zadeh, Yao Chong Lim, and Louis-Philippe Morency. 2018. “OpenFace 2.0: Facial Behavior Analysis Toolkit.” In 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018), 59–66. IEEE. Devlin, Jacob, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. “BERT: Pre-Training of Deep Bidirectional Transformers for Language Understanding.” arXiv [cs.CL]. arXiv. http://arxiv.org/abs/1810.04805. Eyben, Florian, Martin Wöllmer, and Björn Schuller. 2010. “Opensmile: The Munich Versatile and Fast Open-Source Audio Feature Extractor.” In Proceedings of the 18th ACM International Conference on Multimedia, 1459–62. MM ’10. New York, NY, USA: Association for Computing Machinery. w ൃ࿩಺༰ɿ#&35 w ݴޠཧղͷͨΊͷਂ૚૒ํ޲τϥ ϯεϑΥʔϚʔϞσϧ w ද৘ɿ0QFO'BDF w إಈ࡞෼ੳΞϧΰϦζϜΛ࣮૷͢ ΔϑϨʔϜϫʔΫ

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ݚڀ΁ͷϞνϕʔγϣϯ w ڵຯͷ͋ΔςʔϚɿػցֶशΛ௨ͨ͡ίϛϡχέʔγϣϯ΍Ϛονϯάͷଅਐ w ͖͔͚ͬɿΞϧόΠτͰؔΘͬͨɺձһ੍ͷίϛϡχςΟࣗशࣨʹ͓͚Δ࢓ࣄ w ਓͱਓΛͭͳ͛Δ͜ͱͷՄೳੑΛڧ͘ײͨ͡ w ଐਓ౓ͷߴ͍࢓ࣄͩͬͨͷͰɺ͜ͷ࢓ࣄͷଐਓੑΛԼ͛Δ͜ͱʹڵຯΛ࣋ͬͨ w େֶͰͷઐ߈ͱɺݚڀςʔϚͱͷؔ܎ɿݱ࣌఺Ͱ͸ͳ͍ w ߟݹֶͱը૾ղੳͷ૊Έ߹Θͤʹ΋ڵຯ͋Γˠ෭ςʔϚͱͯ͠ணख