Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Fahd Albinali"'
Publikováno v:
J Meas Phys Behav
Background: Physical behavior researchers using motion sensors often use acceleration summaries to visualize, clean, and interpret data. Such output is dependent on device specifications (e.g., dynamic range, sampling rate) and/or are proprietary, wh
Autor:
Anis Davoudi, Mamoun T Mardini, David Nelson, Fahd Albinali, Sanjay Ranka, Parisa Rashidi, Todd M Manini
BACKGROUND Research has shown the feasibility of human activity recognition using wearable accelerometer devices. Different studies have used varying numbers and placements for data collection using sensors. OBJECTIVE This study aims to compare accur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::073d6393db33f4d647ac37288992fdf3
https://doi.org/10.2196/preprints.23681
https://doi.org/10.2196/preprints.23681
Autor:
David Nelson, Anis Davoudi, Mamoun T. Mardini, Fahd Albinali, Sanjay Ranka, Parisa Rashidi, Todd M. Manini
Publikováno v:
JMIR mHealth and uHealth
JMIR mHealth and uHealth, Vol 9, Iss 5, p e23681 (2021)
JMIR mHealth and uHealth, Vol 9, Iss 5, p e23681 (2021)
Background Research has shown the feasibility of human activity recognition using wearable accelerometer devices. Different studies have used varying numbers and placements for data collection using sensors. Objective This study aims to compare accur
Autor:
Alexander R Lucas, Michael B Bass, Nan E Rothrock, Mary L O'Connor, Mia R Sorkin, Jason Nawyn, Fahd Albinali, Lynne I Wagner
BACKGROUND Capturing and Analyzing Sensor and Self-Report Data for Clinicians and Researchers (COMPASS) is an electronic health (eHealth) platform designed to improve cancer care delivery through passive monitoring of patients’ health status and de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76d1dbd8bb672c7ac7a1d036a5ac5196
https://doi.org/10.2196/preprints.9525
https://doi.org/10.2196/preprints.9525
Publikováno v:
Pervasive and Mobile Computing. 8:103-114
Individuals with Autism Spectrum Disorders (ASD) frequently engage in stereotyped and repetitive motor movements. Automatically detecting these movements using comfortable, miniature wireless sensors could advance autism research and enable new inter
Publikováno v:
International Journal of Mobile Human Computer Interaction. 4:37-43
Publikováno v:
Journal of Autism and Developmental Disorders. 41:770-782
To overcome problems with traditional methods for measuring stereotypical motor movements in persons with Autism Spectrum Disorders (ASD), we evaluated the use of wireless three-axis accelerometers and pattern recognition algorithms to automatically
Autor:
Fahd Albinali, Steven N. Chillrud, Stephen S. Intille, Mary Rosenberger, William L. Haskell, Charles Rodes
Publikováno v:
Atmospheric environment (Oxford, England : 1994). 57
Background Metabolic functions typically increase with human activity, but optimal methods to characterize activity levels for real-time predictions of ventilation volume (l min −1 ) during exposure assessments have not been available. Could tiny,
Autor:
Mary Rosenberger, William L. Haskell, Fahd Albinali, Selene Mota, Jason Nawyn, Stephen S. Intille
Previously, the National Health and Examination Survey measured physical activity with an accelerometer worn on the hip for 7 d but recently changed the location of the monitor to the wrist. This study compared estimates of physical activity intensit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfa1547957d6153e7e3cffcf270c1204
https://europepmc.org/articles/PMC3631449/
https://europepmc.org/articles/PMC3631449/
Autor:
Fahd Albinali, Zhibiao Rao
Publikováno v:
Medicine & Science in Sports & Exercise. 48:786