Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Martin GJORESKI"'
Autor:
Simon Stankoski, Ivana Kiprijanovska, Martin Gjoreski, Filip Panchevski, Borjan Sazdov, Bojan Sofronievski, Andrew Cleal, Mohsen Fatoorechi, Charles Nduka, Hristijan Gjoreski
Publikováno v:
JMIR mHealth and uHealth, Vol 12, p e59469 (2024)
BackgroundThe increasing prevalence of obesity necessitates innovative approaches to better understand this health crisis, particularly given its strong connection to chronic diseases such as diabetes, cancer, and cardiovascular conditions. Monitorin
Externí odkaz:
https://doaj.org/article/b210f949f50343729132182a99012c03
Autor:
Ivana Kiprijanovska, Simon Stankoski, M. John Broulidakis, James Archer, Mohsen Fatoorechi, Martin Gjoreski, Charles Nduka, Hristijan Gjoreski
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract This study aimed to evaluate the use of novel optomyography (OMG) based smart glasses, OCOsense, for the monitoring and recognition of facial expressions. Experiments were conducted on data gathered from 27 young adult participants, who perf
Externí odkaz:
https://doaj.org/article/249fac4ef1a24cc0b874b6977c7a0704
Publikováno v:
IEEE Access, Vol 11, Pp 29250-29262 (2023)
Human mobility modeling is crucial for many facets of our society, including disease transmission modeling and urban planning. The explosion of mobility data prompted the application of deep learning to human mobility. Along with the growth of resear
Externí odkaz:
https://doaj.org/article/4c5adae3a3e4401ea3e95e6ebae9a7f9
Autor:
Martin Gjoreski, Ivana Kiprijanovska, Simon Stankoski, Ifigeneia Mavridou, M. John Broulidakis, Hristijan Gjoreski, Charles Nduka
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract Using a novel wearable surface electromyography (sEMG), we investigated induced affective states by measuring the activation of facial muscles traditionally associated with positive (left/right orbicularis and left/right zygomaticus) and neg
Externí odkaz:
https://doaj.org/article/a799510dd2fe4bac872469ffbcab0dbd
Autor:
M. John Broulidakis, Ivana Kiprijanovska, Liberty Severs, Simon Stankoski, Martin Gjoreski, Ifigeneia Mavridou, Hristijan Gjoreski, Sophia Cox, Daisy Bradwell, James M. Stone, Charles Nduka
Publikováno v:
Frontiers in Psychiatry, Vol 14 (2023)
BackgroundContinuous assessment of affective behaviors could improve the diagnosis, assessment and monitoring of chronic mental health and neurological conditions such as depression. However, there are no technologies well suited to this, limiting po
Externí odkaz:
https://doaj.org/article/0b69dad86a68487d9cb3c4672c78a7b9
Publikováno v:
Frontiers in Computer Science, Vol 4 (2022)
Location-based Behavioral Analytics (LBA) holds a great potential for improving the services available in smart cities. Naively implemented, such an approach would track the movements of every citizen and share their location traces with the various
Externí odkaz:
https://doaj.org/article/a9ec2a5377464cd8b2043dfeec50cc50
Publikováno v:
Sensors, Vol 23, Iss 10, p 4803 (2023)
The estimation of human mobility patterns is essential for many components of developed societies, including the planning and management of urbanization, pollution, and disease spread. One important type of mobility estimator is the next-place predic
Externí odkaz:
https://doaj.org/article/a015bc108e5044969a1265cb111a9a8e
Autor:
Martin Gjoreski, Bhargavi Mahesh, Tine Kolenik, Jens Uwe-Garbas, Dominik Seuss, Hristijan Gjoreski, Mitja Lustrek, Matjaz Gams, Veljko Pejovic
Publikováno v:
IEEE Access, Vol 9, Pp 103325-103336 (2021)
To further extend the applicability of wearable sensors, methods for accurately extracting subtle psychological information from the sensor data are required. However, accessing subjective information in everyday life, such as cognitive load, remains
Externí odkaz:
https://doaj.org/article/f18dd70d5d9945938a66d616c9643649
Publikováno v:
Frontiers in Artificial Intelligence, Vol 5 (2022)
Human mobility modeling is a complex yet essential subject of study related to modeling important spatiotemporal events, including traffic, disease spreading, and customized directions and recommendations. While spatiotemporal data can be collected e
Externí odkaz:
https://doaj.org/article/5963db89ed194299a98b76edc71ab5e0
Publikováno v:
Acta Electrotechnica et Informatica, Vol 20, Iss 3, Pp 39-47 (2020)
One of the main tasks of a course is that it should motivate students to work continuously during the semester. Using the same course curriculum for students with different cultural backgrounds can have different impacts on student behavior and moti
Externí odkaz:
https://doaj.org/article/1d5b0065a23c4fba860bd1db470a7f3b