Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Anuchit Jitpattanakul"'
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 5, Iss 4, Pp 1937-1952 (2023)
Epileptic seizures are a prevalent neurological condition that impacts a considerable portion of the global population. Timely and precise identification can result in as many as 70% of individuals achieving freedom from seizures. To achieve this, th
Externí odkaz:
https://doaj.org/article/c1d797dc9ada4931bcf28b8cdbad7bc6
Publikováno v:
PeerJ Computer Science, Vol 10, p e2100 (2024)
Portable devices like accelerometers and physiological trackers capture movement and biometric data relevant to sports. This study uses data from wearable sensors to investigate deep learning techniques for recognizing human behaviors associated with
Externí odkaz:
https://doaj.org/article/2f08266adcda428d8c8f306756e758c8
Publikováno v:
Applied System Innovation, Vol 7, Iss 4, p 59 (2024)
The accurate and efficient recognition of gym workout activities using wearable sensors holds significant implications for assessing fitness levels, tailoring personalized training regimens, and overseeing rehabilitation progress. This study introduc
Externí odkaz:
https://doaj.org/article/02d1f165ceb14f8da047026113b299eb
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract In the field of machine intelligence and ubiquitous computing, there has been a growing interest in human activity recognition using wearable sensors. Over the past few decades, researchers have extensively explored learning-based methods to
Externí odkaz:
https://doaj.org/article/499d5b0ec3904de5aafe31288c24e80a
Publikováno v:
Symmetry, Vol 16, Iss 5, p 554 (2024)
Wearable devices are paramount in health monitoring applications since they provide contextual information to identify and recognize human activities. Although sensor-based human activity recognition (HAR) has been thoroughly examined, prior studies
Externí odkaz:
https://doaj.org/article/71f94827f60f4c18bbbdbc517422894f
Publikováno v:
Applied Sciences, Vol 14, Iss 5, p 2107 (2024)
Human activity recognition (HAR) identifies people’s motions and actions in daily life. HAR research has grown with the popularity of internet-connected, wearable sensors that capture human movement data to detect activities. Recent deep learning a
Externí odkaz:
https://doaj.org/article/dc2b37ee84ae4d2b89cfddf7c086e0f9
Autor:
Sakorn Mekruksavanich, Nattakarn Kaewyong, Anuchit Jitpattanakul, Kanokwan Sitthithakerngkiet
Publikováno v:
Journal of Inequalities and Applications, Vol 2022, Iss 1, Pp 1-30 (2022)
Abstract Recent developments in split equilibrium problems (SEPs) have found practical applications in convex optimization problems, information theory, and signal processing. In this paper, we present three novel algorithms with no prior knowledge o
Externí odkaz:
https://doaj.org/article/f9748f14149d4115b9b6365353bb81d7
Publikováno v:
Information, Vol 15, Iss 1, p 47 (2024)
Smartphones have become ubiquitous, allowing people to perform various tasks anytime and anywhere. As technology continues to advance, smartphones can now sense and connect to networks, providing context-awareness for different applications. Many ind
Externí odkaz:
https://doaj.org/article/fda03b7e0c074fd78c77acf6f5b3ab6f
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 6, Pp 5671-5698 (2022)
Currently, identification of complex human activities is experiencing exponential growth through the use of deep learning algorithms. Conventional strategies for recognizing human activity generally rely on handcrafted characteristics from heuristic
Externí odkaz:
https://doaj.org/article/b1ad238d7a944dc6b27dc6e8afaead9d
Autor:
Sakorn Mekruksavanich, Anuchit Jitpattanakul, Kanokwan Sitthithakerngkiet, Phichai Youplao, Preecha Yupapin
Publikováno v:
IEEE Access, Vol 10, Pp 51142-51154 (2022)
Smart mobile devices are being widely used to identify and track human behaviors in simple and complex daily activities. The evolution of wearable sensing technologies pertaining to wellness, living surveillance, and fitness tracking is based on the
Externí odkaz:
https://doaj.org/article/ffdd7542ce9d4f1d90bb4fba241bdcc4