Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Aras Yurtman"'
Publikováno v:
Sensors, Vol 18, Iss 8, p 2725 (2018)
Wearable motion sensors are assumed to be correctly positioned and oriented in most of the existing studies. However, generic wireless sensor units, patient health and state monitoring sensors, and smart phones and watches that contain sensors can be
Externí odkaz:
https://doaj.org/article/70371d7309ee49d79d72561f94145721
Autor:
Aras Yurtman, Billur Barshan
Publikováno v:
Sensors, Vol 17, Iss 8, p 1838 (2017)
Most activity recognition studies that employ wearable sensors assume that the sensors are attached at pre-determined positions and orientations that do not change over time. Since this is not the case in practice, it is of interest to develop wearab
Externí odkaz:
https://doaj.org/article/80946502acf440deac0ffcfa5c519f9d
Autor:
Lola Botman, Jonas Soenen, Konstantinos Theodorakos, Aras Yurtman, Jessa Bekker, Koen Vanthournout, Hendrik Blockeel, Bart De Moor, Jesus Lago
ispartof: IEEE Transactions On Smart Grid vol:14 issue:1 pages:757-768 status: published
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e78f215273a69b0754c8edd2b825cd2e
https://lirias.kuleuven.be/handle/20.500.12942/698976
https://lirias.kuleuven.be/handle/20.500.12942/698976
Publikováno v:
IEEE Internet of Things Journal
We propose a new methodology to attain invariance to the positioning of body-worn motion-sensor units for recognizing everyday and sports activities. We first consider random interchangeability of the sensor units so that the user does not need to di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ec1c674d35f689ed063c8f6c349c11c
https://doi.org/10.1109/jiot.2020.3044754
https://doi.org/10.1109/jiot.2020.3044754
Autor:
Jonas Soenen, Aras Yurtman, Thijs Becker, Reinhilde D’hulst, Koen Vanthournout, Wannes Meert, Hendrik Blockeel
Publikováno v:
Sustainable Energy, Grids and Networks. 34:100985
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f5db0d81af000bfb66ab3daea2fa8cc
https://doi.org/10.1016/j.segan.2022.100985
https://doi.org/10.1016/j.segan.2022.100985
Autor:
Aras Yurtman, Billur Barshan
Publikováno v:
IEEE Internet of Things Journal
We propose techniques that achieve invariance to the positioning of wearable motion sensor units on the body for the recognition of daily and sports activities. Using two sequence sets based on the sensory data allows each unit to be placed at any po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fcadea364b96768f026693862f9cf1d
https://doi.org/10.1109/jiot.2020.2969840
https://doi.org/10.1109/jiot.2020.2969840
Autor:
Billur Barshan, Aras Yurtman
Publikováno v:
IEEE Transactions on Instrumentation and Measurement
We propose a novel noniterative orientation estimation method based on the physical and geometrical properties of the acceleration, angular rate, and magnetic field vectors to estimate the orientation of motion sensor units. The proposed algorithm ai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb36c8f8ccde39c3c397cf1be6b0aff0
https://hdl.handle.net/11693/75445
https://hdl.handle.net/11693/75445
Autor:
Billur Barshan, Aras Yurtman
Publikováno v:
Computer Journal
This work investigates inter-subject and inter-activity variability of a given activity dataset and provides some new definitions to quantify such variability. The definitions are sufficiently general and can be applied to a broad class of datasets t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::292cecba70de37a9887a44c29e6cff95
https://doi.org/10.1093/comjnl/bxv093
https://doi.org/10.1093/comjnl/bxv093
Autor:
Billur Barshan, Aras Yurtman
Publikováno v:
Applied Artificial Intelligence
This article provides a comparative study on the different techniques of classifying human activities using tag-based radio-frequency (RF) localization. A publicly available dataset is used where the position data of multiple RF tags worn on differen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::baaafb3817d7dd581407c87015f2a154
https://hdl.handle.net/11693/36624
https://hdl.handle.net/11693/36624
Autor:
Aras Yurtman, Billur Barshan
Publikováno v:
SIU
We develop an autonomous system to detect and evaluate physical therapy exercises using wearable motion sensor units. We propose an algorithm based on the dynamic time warping (DTW) dissimilarity measure to detect the occurrences of one or more exerc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69508e3304f20300390073e2960e2825
https://doi.org/10.1109/siu.2014.6830523
https://doi.org/10.1109/siu.2014.6830523