Yoshitake Oshima
University of Marketing and Distribution Sciences
59 Papers
501 Citations
Yoshitake Oshima is an academic researcher from University of Marketing and Distribution Sciences. The author has contributed to research in topics: Bioelectrical impedance analysis & Exercise intensity. The author has an hindex of 17, co-authored 58 publications. Previous affiliations of Yoshitake Oshima include Osaka City University & Omron.
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Papers
Real-time estimation of daily physical activity intensity by a triaxial accelerometer and a gravity-removal classification algorithm.
Kazunori Ohkawara,Yoshitake Oshima,Yuki Hikihara,Kazuko Ishikawa-Takata,Izumi Tabata,Shigeho Tanaka +5 more
TL;DR: The use of a triaxial accelerometer in combination with a GRPACA permits more accurate and immediate estimation of daily physical activity intensities, compared with previously reported cut-off classification models.
Classifying household and locomotive activities using a triaxial accelerometer
Yoshitake Oshima,Kaori Kawaguchi,Shigeho Tanaka,Kazunori Ohkawara,Yuki Hikihara,Kazuko Ishikawa-Takata,Izumi Tabata +6 more
TL;DR: The findings suggest that the new algorithm using the TAU/TAF cut-off value can accurately classify household and locomotive activities.
351
Patent
Body movement detection device
Yoshitake Oshima
- 19 Jun 2012
TL;DR: In this paper, a body movement detection device is provided with a main body, a display unit, and a control unit, the control unit including an ascent/descent method detection unit that detects whether a user who is wearing or carrying the main body is ascending/descending using a lift device, a counting unit that counts the number of times that the user ascends/descends using the lift device and the number that the users ascends or descends without using the user's lift device.
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Validity of estimating physical activity intensity using a triaxial accelerometer in healthy adults and older adults.
Sho Nagayoshi,Sho Nagayoshi,Yoshitake Oshima,Takafumi Ando,Tomoko Aoyama,Satoshi Nakae,Chiyoko Usui,Shuzo Kumagai,Shigeho Tanaka +8 more
TL;DR: The degree of correlation between predicted and actual METs was comparable in elderly and younger participants, but the prediction errors were greater in elderly participants, particular at higher-intensity activities, which suggests that different predicting equations may be needed for the elderly.
62
Prediction models discriminating between nonlocomotive and locomotive activities in children using a triaxial accelerometer with a gravity-removal physical activity classification algorithm.
Yuki Hikihara,Chiaki Tanaka,Yoshitake Oshima,Kazunori Ohkawara,Kazuko Ishikawa-Takata,Shigeho Tanaka +5 more
TL;DR: The authors' specific calibration model that discriminates between nonlocomotive and locomotive activities for children can be useful to evaluate the sedentary to vigorous PAs intensity of both nonlocmotive and railway activities.