Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Parastoo Alinia"'
Publikováno v:
Sensors, Vol 23, Iss 14, p 6337 (2023)
Activity recognition using data collected with smart devices such as mobile and wearable sensors has become a critical component of many emerging applications ranging from behavioral medicine to gaming. However, an unprecedented increase in the diver
Externí odkaz:
https://doaj.org/article/61721beb442f4750ac6a4c3e07039033
Autor:
Parastoo Alinia, Ramesh Kumar Sah, Michael McDonell, Patricia Pendry, Sara Parent, Hassan Ghasemzadeh, Michael John Cleveland
Publikováno v:
JMIR Formative Research, Vol 5, Iss 7, p e27891 (2021)
BackgroundPrevious research has highlighted the role of stress in substance misuse and addiction, particularly for relapse risk. Mobile health interventions that incorporate real-time monitoring of physiological markers of stress offer promise for de
Externí odkaz:
https://doaj.org/article/89082df2956149cfa2151d1e01ddd5f0
Publikováno v:
Sensors, Vol 20, Iss 20, p 5953 (2020)
Automated lying-posture tracking is important in preventing bed-related disorders, such as pressure injuries, sleep apnea, and lower-back pain. Prior research studied in-bed lying posture tracking using sensors of different modalities (e.g., accelero
Externí odkaz:
https://doaj.org/article/1aaa1053a87248fe9cd93da2aad4a15b
Publikováno v:
IEEE Transactions on Mobile Computing. 22:374-388
Recent years have witnessed growing research on autonomous activity recognition models for use in new settings. However, it lacks comprehensive frameworks for transfer learning, specifically, the ability to deal with partially available data in new s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::628b96d5eef59645b85c3802c50de224
https://doi.org/10.1109/tmc.2021.3071434
https://doi.org/10.1109/tmc.2021.3071434
Autor:
Parastoo, Alinia, Saman, Parvaneh, Seyed-Iman, Mirzadeh, Asiful, Arefeen, Hassan, Ghasemzadeh
Publikováno v:
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
Automatic lying posture tracking is an important factor in human health monitoring. The increasing popularity of the wrist-based trackers provides the means for unobtrusive, affordable, and long-term monitoring with minimized privacy concerns for the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89958e8bf866950219aad9432f52991e
https://doi.org/10.1109/embc48229.2022.9871946
https://doi.org/10.1109/embc48229.2022.9871946
Publikováno v:
IEEE Sensors Journal. 20:13867-13879
Wearable step counters, also referred to as activity trackers, have been developed for health and activity monitoring, as well as for step tracking. These trackers, however, produce unreliable measurements during slow walking and when walking with as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e561ad4a40895b2c21a23ad9e98a2936
https://doi.org/10.1109/jsen.2020.3009231
https://doi.org/10.1109/jsen.2020.3009231
Autor:
Seyed Ali Rokni, Parastoo Alinia, Mahdi Pedram, Iman Mirzadeh, Hassan Ghasemzadeh, Marjan Nourollahi
Publikováno v:
ACM Transactions on Design Automation of Electronic Systems. 26:1-31
Wearables are poised to transform health and wellness through automation of cost-effective, objective, and real-time health monitoring. However, machine learning models for these systems are designed based on labeled data collected, and feature repre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da7a9e6bb0f836339791f774b8ffc50f
https://doi.org/10.1145/3414062
https://doi.org/10.1145/3414062
Autor:
Hassan Ghasemzadeh, Parastoo Alinia
Publikováno v:
Fog Computing. :385-409
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2312e0fdca013080cfec06308359aaf
https://doi.org/10.1002/9781119551713.ch15
https://doi.org/10.1002/9781119551713.ch15
Autor:
Ramesh Kumar Sah, Michael G. McDonell, Hassan Ghasemzadeh, Sara Parent, Patricia Pendry, Michael J. Cleveland, Parastoo Alinia
Publikováno v:
JMIR Formative Research
Background Previous research has highlighted the role of stress in substance misuse and addiction, particularly for relapse risk. Mobile health interventions that incorporate real-time monitoring of physiological markers of stress offer promise for d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::337e511fa8dfb2bf2c8a60e3e0e7f354
http://europepmc.org/articles/PMC8339978
http://europepmc.org/articles/PMC8339978
Autor:
Parastoo Alinia, Ramesh Kumar Sah, Michael McDonell, Patricia Pendry, Sara Parent, Hassan Ghasemzadeh, Michael John Cleveland
BACKGROUND Previous research has highlighted the role of stress in substance misuse and addiction, particularly for relapse risk. Mobile health interventions that incorporate real-time monitoring of physiological markers of stress offer promise for d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fceb3f9a242917856da35088b2e47fa
https://doi.org/10.2196/preprints.27891
https://doi.org/10.2196/preprints.27891
