Zobrazeno 1 - 10 of 30 pro vyhledávání: '"Makoto Koshino"'
1
Akademický článek
A Comparative Study: Toward an Effective Convolutional Neural Network Architecture for Sensor-Based Human Activity Recognition
Autor: Zhao Zhongkai, Satoshi Kobayashi, Kazuma Kondo, Tatsuhito Hasegawa, Makoto Koshino
Publikováno v: IEEE Access, Vol 10, Pp 20547-20558 (2022)
The feature extraction of human activity recognition (HAR) based on sensor data has been studied as a hand-crafted method. The significant feature extraction ability is a key factor in improving the accuracy of HAR. Recently, deep learning methods ha
Externí odkaz: https://doaj.org/article/f66c9f2bed5b49bdb146d9fcc247d783
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2
Akademický článek
Determining Smartphone’s Placement Through Material Detection, Using Multiple Features Produced in Sound Echoes
Autor: Tatsuhito Hasegawa, Satoshi Hirahashi, Makoto Koshino
Publikováno v: IEEE Access, Vol 5, Pp 5331-5339 (2017)
This paper proposes a system to determine the placement of a smartphone by using the acoustic properties of the surface materials nearby. Detecting the surrounding materials allows the smartphone to change its notification method automatically, based
Externí odkaz: https://doaj.org/article/9f9427d78d61410bb2170977b4c941a2
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5
Determining Smartphone’s Placement Through Material Detection, Using Multiple Features Produced in Sound Echoes
Autor: Satoshi Hirahashi, Makoto Koshino, Tatsuhito Hasegawa
Publikováno v: IEEE Access. 5:5331-5339
This paper proposes a system to determine the placement of a smartphone by using the acoustic properties of the surface materials nearby. Detecting the surrounding materials allows the smartphone to change its notification method automatically, based
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e5533fa8df2bf5d3575d519b9d89991e
https://doi.org/10.1109/access.2017.2687467
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6
Representation Learning by Convolutional Neural Network for Smartphone Sensor Based Activity Recognition
Autor: Makoto Koshino, Tatsuhito Hasegawa
Publikováno v: Proceedings of the 2019 2nd International Conference on Computational Intelligence and Intelligent Systems.
Although many researchers have widely investigated activity recognition using smartphone sensing, estimation accuracy can be adversely affected by individual dependence. The result of our survey showed that the process of smartphone sensor based acti
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::41acd60d70c13e8b4dc17e4e7b87a978
https://doi.org/10.1145/3372422.3372439
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7
Bilateral Tele-Rehabilitation System with Electrical Stimulation through Cloud Server
Autor: Yasunori Kawai, Makoto Koshino, Kenya Honda
Publikováno v: ICCE-TW
This paper presents a bilateral tele-rehabilitation system with electrical stimulation. The main contribution of this paper is to use a cloud server to communicate between the therapist and patient by applying hypertext transfer protocol (HTTP). Our
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7994e6f19254ff67b20c472d23cfdd92
https://doi.org/10.1109/icce-tw46550.2019.8991827
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9
Temari and Shadow
Autor: Noriyasu Obushi, Makoto Koshino
Publikováno v: VRIC
To provide cultural night experiences with tourists in Kanazawa City, we exhibited our interactive digital installation titled "Temari and Shadow" at the open space of the 21st Century Museum of Contemporary Art, Kanazawa. Our installation utilizes s
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4e26947da64d243abfed97eb99d3b927
https://doi.org/10.1145/3234253.3234321
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Plný text Recenzováno Digitální knihovna AV ČR
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