Measuring and Classifying Land-Based and Water-Based Daily Living Activities Using Inertial Sensors

Autor: Koichi Kaneda, Yuji Ohgi, Mark R. McKean, Brendan J. Burkett

Publikováno v: Proceedings, Vol 2, Iss 6, p 298 (2018)

This study classified motions of typical daily activities in both environments using inertial sensors attached at the chest and thigh to determine the optimal site to attach the sensors. Walking, chair standing and sitting, and step climbing were con

Externí odkaz: https://doaj.org/article/29d780d69a614327bed0618b816e3d9c

Effect of changing water depth on muscle activity and motion kinematics during sit-to-stand motion

Autor: Koichi Kaneda

Publikováno v: Gait & Posture. 79:102-107

Background Sit-to-stand (STS) movement is a fundamental activity in daily life. Studies have examined the effect of water depth during aquatic exercise; however, no investigation has examined the effect of water depth on STS movements. Research quest

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d39d0e5530c93237ec7996fd8c9bcdb8
https://doi.org/10.1016/j.gaitpost.2020.04.007

Prediction of Physical Activity Intensity with Accelerometry in Young Children

Autor: Takafumi Ando, Chiyoko Usui, Koichi Kaneda, Shigeho Tanaka, Yuki Hikihara, Yuji Ohgi, Yoshitake Oshima, Chiaki Tanaka

Publikováno v: International Journal of Environmental Research and Public Health
Volume 16
Issue 6
International Journal of Environmental Research and Public Health, Vol 16, Iss 6, p 931 (2019)

Background: An algorithm for the classification of ambulatory and non-ambulatory activities using the ratio of unfiltered to filtered synthetic acceleration measured with a triaxial accelerometer and predictive models for physical activity intensity

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ef1c3b94e7bfaba6a48aafa1f4d11ee
https://pubmed.ncbi.nlm.nih.gov/30875871

Measuring and Classifying Land-Based and Water-Based Daily Living Activities Using Inertial Sensors

Autor: Mark R McKean, Yuji Ohgi, Brendan J Burkett, Koichi Kaneda

Publikováno v: Proceedings, Vol 2, Iss 6, p 298 (2018)

This study classified motions of typical daily activities in both environments using inertial sensors attached at the chest and thigh to determine the optimal site to attach the sensors. Walking, chair standing and sitting, and step climbing were con

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a6fc84fc864518ef5e81f0f364d049f
https://doi.org/10.3390/proceedings2060298

Sensor Data Mining on the Kinematical Characteristics of the Competitive Swimming

Autor: Yuji Ohgi, Koichi Kaneda, Akira Takakura

Publikováno v: Procedia Engineering. 72:829-834

The purpose of this study was to propose a new methodology for the automatic identification and the classification of the swimmers kinematical information during interval training of competitive swimming. Forty-five college swimmers attached the newl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0e9a50d24e197cd21e665d620281a1f
https://doi.org/10.1016/j.proeng.2014.06.036