Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Tommy Sugiarto"'
Publikováno v:
IEEE Access, Vol 9, Pp 45418-45427 (2021)
Head orientation prediction is one of the solutions to reduce end-to-end latency on Virtual Reality (VR) systems and is important since it can alleviate negative effects like motion sickness. This study compared head orientation prediction models fro
Externí odkaz:
https://doaj.org/article/1ecaaaef7685463695e19cd7c26c4798
Autor:
Wei-Chun Hsu, Tommy Sugiarto, Ying-Yi Liao, Yi-Jia Lin, Fu-Chi Yang, Dueng-Yuan Hueng, Chi-Tien Sun, Kuan-Nien Chou
Publikováno v:
Applied Sciences, Vol 11, Iss 4, p 1541 (2021)
This study classified the gait patterns of normal and stroke participants by using time- and frequency-domain features obtained from data provided by an inertial measurement unit sensor placed on the subject’s lower back (L5). Twenty-three particip
Externí odkaz:
https://doaj.org/article/85655761015b4308a922f011a546f107
Publikováno v:
Sensors, Vol 18, Iss 11, p 3617 (2018)
This study aimed to find the correlation between conventional Arch Index (AI) measurements and our prototype of a simplified insole-based plantar pressure measurement system and to find out the effective plantar pressure sensor position. Twenty-one s
Externí odkaz:
https://doaj.org/article/1ee60b2f20614401acfda578cc02a938
Autor:
Wei-Chun Hsu, Tommy Sugiarto, Yi-Jia Lin, Fu-Chi Yang, Zheng-Yi Lin, Chi-Tien Sun, Chun-Lung Hsu, Kuan-Nien Chou
Publikováno v:
Sensors, Vol 18, Iss 10, p 3397 (2018)
The aim of this study was to conduct a comprehensive analysis of the placement of multiple wearable sensors for the purpose of analyzing and classifying the gaits of patients with neurological disorders. Seven inertial measurement unit (IMU) sensors
Externí odkaz:
https://doaj.org/article/24d484d603e146888243d694affc49c5
Autor:
Tommy Sugiarto
106
Spatiotemporal parameters of gait are general gait parameters that can enable the simplest form of objective gait evaluation. These parameters tend to change in most locomotor disabilities and serve as guidelines for evaluating the walking a
Spatiotemporal parameters of gait are general gait parameters that can enable the simplest form of objective gait evaluation. These parameters tend to change in most locomotor disabilities and serve as guidelines for evaluating the walking a
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/2je38j
Publikováno v:
IEEE Access, Vol 9, Pp 45418-45427 (2021)
Head orientation prediction is one of the solutions to reduce end-to-end latency on Virtual Reality (VR) systems and is important since it can alleviate negative effects like motion sickness. This study compared head orientation prediction models fro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9e53d5a6fa52b11e803a346ee4b2d5f
https://ieeexplore.ieee.org/document/9381217/
https://ieeexplore.ieee.org/document/9381217/
Autor:
Yung-Hsiang Lee, Li-Fong Lin, Chao-Chin Chang, Zhong-Rong Hsieh, Yi-Jia Lin, Chih-Yi Tsai, Wei-Chun Hsu, Jia-Lin Wu, Tommy Sugiarto
Publikováno v:
IEEE Consumer Electronics Magazine. 9:54-60
The vastus medialis oblique (VMO) and vastus lateralis (VL) muscles at the knee joint play important roles for coordination, stability, and posture control. However, no currently available device records muscle activity while simultaneously warning u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fa41e6fa37ac56e510a9ed413941c15
https://doi.org/10.1109/mce.2019.2941459
https://doi.org/10.1109/mce.2019.2941459
Publikováno v:
IRC
Reducing end-to-end latency on virtual reality system is important since it can remove several negative effects like motion-sickness and head orientation prediction is one of the solution to do that. On this study, signal from surface Electromyograph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e1e996515729ca168aac54fb77f9a10
https://doi.org/10.1109/irc.2020.00036
https://doi.org/10.1109/irc.2020.00036
Autor:
Yi-Jia Lin, Tommy Sugiarto, Dueng-Yuan Hueng, Kuan-Nien Chou, Ying-Yi Liao, Fu-Chi Yang, Wei-Chun Hsu, Chi-Tien Sun
Publikováno v:
Applied Sciences; Volume 11; Issue 4; Pages: 1541
Applied Sciences, Vol 11, Iss 1541, p 1541 (2021)
Applied Sciences, Vol 11, Iss 1541, p 1541 (2021)
This study classified the gait patterns of normal and stroke participants by using time- and frequency-domain features obtained from data provided by an inertial measurement unit sensor placed on the subject’s lower back (L5). Twenty-three particip
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43218af9af7df5d374e8ee57fa1d0f9d
https://doi.org/10.3390/app11041541
https://doi.org/10.3390/app11041541
Autor:
Chun-Lung Hsu, Fu-Chi Yang, Chi-Tien Sun, Wei-Chun Hsu, Yi-Jia Lin, Tommy Sugiarto, Zheng-Yi Lin, Kuan-Nien Chou
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 18, Iss 10, p 3397 (2018)
Sensors
Volume 18
Issue 10
Sensors, Vol 18, Iss 10, p 3397 (2018)
Sensors
Volume 18
Issue 10
The aim of this study was to conduct a comprehensive analysis of the placement of multiple wearable sensors for the purpose of analyzing and classifying the gaits of patients with neurological disorders. Seven inertial measurement unit (IMU) sensors
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::345a5898e94f74e7df9a9cdd7e8d24bb
http://europepmc.org/articles/PMC6210399
http://europepmc.org/articles/PMC6210399