Zobrazeno 1 - 10
of 6 358
pro vyhledávání: '"inertial sensors"'
Publikováno v:
Biomechanics, Vol 4, Iss 2, Pp 346-356 (2024)
Gait asymmetries are a common problem in clinical populations, such as those with a history of stroke or Parkinson’s disease. The use of a split-belt treadmill is one way to enhance gait symmetry but relies on specialty (and typically expensive) eq
Externí odkaz:
https://doaj.org/article/228f03631a214d95b3003d12bc53d7fa
Publikováno v:
International Journal of Production Management and Engineering, Vol 12, Iss 2, Pp 141-157 (2024)
This research in the Industry 5.0 field focuses on a human-centered simulation of the FAS200 SMC educational production line, utilizing Tecnomatix Process Simulate Human software for developing a virtual human environment. A key aspect of this study
Externí odkaz:
https://doaj.org/article/ada5fc26055944c59bfe3dcc05afaf65
Publikováno v:
Data in Brief, Vol 55, Iss , Pp 110731- (2024)
Given the popularity of wrist-worn devices, particularly smartwatches, the identification of manual movement patterns has become of utmost interest within the research field of Human Activity Recognition (HAR) systems. In this context, by leveraging
Externí odkaz:
https://doaj.org/article/ac762503ec604bfc831053e7ae092d30
Publikováno v:
Data in Brief, Vol 55, Iss , Pp 110621- (2024)
Timed Up and Go (TUG) test is one of the most popular clinical tools aimed at the assessment of functional mobility and fall risk in older adults. The automation of the analysis of TUG movements is of great medical interest not only to speed up the t
Externí odkaz:
https://doaj.org/article/f7708efcea184dbda3f9e7ba2de5c6e1
Autor:
THAISSIANNE F. FERNANDES, MARIA IZABEL T.C. VOLPE, FRANCINEIDE P.S. PENA, ENZO GABRIEL R. SANTOS, GUSTAVO HENRIQUE L. PINTO, ANDERSON BELGAMO, ANSELMO A. COSTA E SILVA, ANDRÉ S. CABRAL, BIANCA CALLEGARI, GIVAGO S. SOUZA
Publikováno v:
Anais da Academia Brasileira de Ciências, Vol 96, Iss suppl 1 (2024)
Abstract It was compared smartphone-based measurements of static balance control and mobility of elderly population with and without type 2 diabetes mellitus (DM2). The present cross-sectional study investigated 73 participants grouped in a control g
Externí odkaz:
https://doaj.org/article/c0e9cd6b9932495cbf8c1ab53eee2adb
Publikováno v:
RUDN Journal of Engineering Research, Vol 25, Iss 1, Pp 57-74 (2024)
This comprehensive study delves deeply into the intricate domain of optimizing Micro-electromechanical Systems (MEMS)-based navigation sensors for aerospace vehicles. It entails a meticulous examination of MEMS sensors, focusing on their role in guid
Externí odkaz:
https://doaj.org/article/a347d8df3cdb4328b7ec41ef317162dc
Publikováno v:
Defence Technology, Vol 33, Iss , Pp 327-338 (2024)
Pedestrian positioning system (PPS) using wearable inertial sensors has wide applications towards various emerging fields such as smart healthcare, emergency rescue, soldier positioning, etc. The performance of traditional PPS is limited by the cumul
Externí odkaz:
https://doaj.org/article/63238730dc364d12b52696cf42c6dfe3
Publikováno v:
IEEE Access, Vol 12, Pp 105337-105345 (2024)
This paper presents a novel method for angle estimation using an infrared (IR) camera in outdoor environments. The technique leverages the inherent advantages of IR imaging, such as its ability to function in low-light and varying weather conditions,
Externí odkaz:
https://doaj.org/article/302ea332e3d449a88516400d128e2db2
Autor:
Ardit Dvorani, Constantin Wiesener, Christina Salchow-Hommen, Magdalena Jochner, Lotta Spieker, Matej Skrobot, Hanno Voigt, Andrea Kuhn, Nikolaus Wenger, Thomas Schauer
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 5, Pp 306-315 (2024)
Goal: Parkinson's disease (PD) can lead to gait impairment and Freezing of Gait (FoG). Recent advances in cueing technologies have enhanced mobility in PD patients. While sensor technology and machine learning offer real-time detection for on-demand
Externí odkaz:
https://doaj.org/article/cce108a80a69495ba4fe80eb520dcff7
Autor:
Abdulwahab Alazeb, Mouazma Batool, Naif Al Mudawi, Mohammed S. Alshehri, Sultan Almakdi, Nouf Abdullah Almujally, Asaad Algarni
Publikováno v:
IEEE Access, Vol 12, Pp 48686-48698 (2024)
Parkinson’s disease affects bodily functions and there is a growing need for advanced solutions to offer therapeutic advice to patients. A framework using artificial intelligence and machine learning techniques has been proposed to address this. Th
Externí odkaz:
https://doaj.org/article/3e18776de920460eb6a55652133f0f8b