Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Masaki SHUZO"'
Publikováno v:
Frontiers in Robotics and AI, Vol 10 (2024)
In the development of dialogue systems for android robots, the goal is to achieve human-like communication. However, subtle differences between android robots and humans are noticeable, leading even human-like android robots to be perceived different
Externí odkaz:
https://doaj.org/article/3cdc865baf2d4ec39e6db36b66fd3ea4
Autor:
Hideaki Hasuo, Nahoko Kusaka, Mutsuo Sano, Kenji Kanbara, Tomoki Kitawaki, Hiroko Sakuma, Tomoya Sakazaki, Kohei Yoshida, Hisaharu Shizuma, Hideo Araki, Motoyuki Suzuki, Satoshi Nishiguchi, Masaki Shuzo, Gaku Masuda, Kei Shimonishi, Kazuaki Kondo, Hirotada Ueda, Yuichi Nakamura
Publikováno v:
BioPsychoSocial Medicine, Vol 17, Iss 1, Pp 1-9 (2023)
Abstract Background Eating alone has been significantly associated with psychological distress. However, there is no research that evaluates the effects or relation of eating together online to autonomic nervous system functions. Methods This is a ra
Externí odkaz:
https://doaj.org/article/9f3d8b9ab74f4ece91ba62ff8d9c8fc8
Publikováno v:
Sensors, Vol 11, Iss 7, Pp 6760-6770 (2011)
This paper describes wireless wearable and ambient sensors that cooperate to monitor a person’s vital signs such as heart rate and blood pressure during daily activities. Each wearable sensor is attached on different parts of the body. The wearable
Externí odkaz:
https://doaj.org/article/52216211df9246b689608bc7cdac9156
Autor:
Masaki SHUZO, Shintaro KOMORI, Tomoko TAKASHIMA, Guillaume LOPEZ, Seiji TATSUTA, Shintaro YANAGIMOTO, Shin'ichi WARISAWA, Jean-Jacques DELAUNAY, Ichiro YAMADA
Publikováno v:
Journal of Advanced Mechanical Design, Systems, and Manufacturing, Vol 4, Iss 1, Pp 158-166 (2010)
Continuous monitoring of eating habits could be useful in preventing lifestyle diseases such as metabolic syndrome. Conventional methods consist of self-reporting and calculating mastication frequency based on the myoelectric potential of the massete
Externí odkaz:
https://doaj.org/article/56aabfc1f8fe457c9c2916dd141cb8a2
Autor:
Guillaume LOPEZ, Masaki SHUZO, Hiroyuki USHIDA, Keita HIDAKA, Shintaro YANAGIMOTO, Yasushi IMAI, Akio KOSAKA, Jean-Jacques DELAUNAY, Ichiro YAMADA
Publikováno v:
Journal of Advanced Mechanical Design, Systems, and Manufacturing, Vol 4, Iss 1, Pp 179-186 (2010)
Continuous monitoring of blood pressure in daily life could improve early detection of cardiovascular disorders, as well as promoting healthcare. Conventional ambulatory blood pressure monitoring (ABPM) equipment can measure blood pressure at regular
Externí odkaz:
https://doaj.org/article/c51c4286c5df4562b3d171a861cd1333
Autor:
Hideaki Hasuo, Nahoko Kusaka, Mutsuo Sano, Kenji Kanbara, Tomoki Kitawaki, Hiroko Sakuma, Tomoya Sakazaki, Kohei Yoshida, Hisaharu Shizuma, Hideo Araki, Motoyuki Suzuki, Satoshi Nishiguchi, Masaki Shuzo, Gaku Masuda, Kei Shimonishi, Kazuaki Kondo, Hirotada Ueda, Yuichi Nakamura
Background Eating alone has been significantly associated with psychological distress. However, there is no research that evaluates the effects or relation of eating together online to autonomic nervous system functions. Methods This is a randomized,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::737e3a69d46b202cf82cb4ef6871ad7f
https://doi.org/10.21203/rs.3.rs-2219715/v1
https://doi.org/10.21203/rs.3.rs-2219715/v1
Publikováno v:
Smart Innovation, Systems and Technologies ISBN: 9789811589430
There are many types of learning environments presented in higher education venues, requiring the development of a diverse repertoire of learning abilities. Group discussion (GD) is one such learning environment, and the students who participate requ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb8f9e4cd2be797e13b379e3e5337a9b
https://doi.org/10.1007/978-981-15-8944-7_12
https://doi.org/10.1007/978-981-15-8944-7_12
Autor:
Chihiro Ito, Ryo Kawasaki, Kei Yaguchi, Masaki Shuzo, Kazukiyo Ikarigawa, Yuki Morikawa, Wataru Miyazaki, Eisaku Maeda
Publikováno v:
UbiComp/ISWC Adjunct
An activity recognition method developed by Team DSML-TDU for the Sussex-Huawei Locomotion-Transportation (SHL) recognition challenge was descrived. Since the 2018 challenge, our team has been developing human activity recognition models based on a c
Publikováno v:
UbiComp/ISWC Adjunct
This paper describes an activity recognition method for the Sussex-Huawei Locomotion-Transportation (SHL) recognition challenge by Team TDU-DSML. The CNN model reported in our 2018 SHL Challenge was adopted. 5-second FFT spectrogram images from all a
Publikováno v:
UbiComp/ISWC Adjunct
For the Nurse Care Activity Recognition Challenge, an activity recognition algorithm was developed by Team TDU-DSML. A spatial-temporal graph convolutional network (ST-GCN) was applied to process 3D motion capture data included in the challenge datas