Results 21 to 30 of about 77,013 (289)

The rates of change of the stochastic trajectories of acceleration variability are a good predictor of normal aging and of the stage of Parkinson’s disease

Frontiers in Integrative Neuroscience, 2013
The accelerometer data from mobile smart phones provide stochastic trajectories that change over time. This rate of change is unique to each person and can be well characterized by the continuous two-parameter family of Gamma probability distributions ...
Elizabeth B Torres
doaj   +1 more source

The Pragmatic Classification of Upper Extremity Motion in Neurological Patients: A Primer

Frontiers in Neurology, 2019
Recent advances in wearable sensor technology and machine learning (ML) have allowed for the seamless and objective study of human motion in clinical applications, including Parkinson's disease, and stroke. Using ML to identify salient patterns in sensor
Avinash Parnandi, Jasim Uddin, Dawn M. Nilsen, Heidi M. Schambra, Heidi M. Schambra   +4 more
doaj   +1 more source

Using Sensors for Player Development: Assessing Biomechanical Factors Related to Pitch Command and Velocity

Sensors, 2022
Pitching biomechanical research is highly focused on injury prevention with little attention to how biomechanical data can facilitate skill development.
Cristine Agresta, Michael T. Freehill, Bryson Nakamura, Samuel Guadagnino, Stephen M. Cain   +4 more
doaj   +1 more source

Physical Human Activity Recognition Using Wearable Sensors

Sensors, 2015
This paper presents a review of different classification techniques used to recognize human activities from wearable inertial sensor data. Three inertial sensor units were used in this study and were worn by healthy subjects at key points of upper/lower ...
Ferhat Attal, Samer Mohammed, Mariam Dedabrishvili, Faicel Chamroukhi, Latifa Oukhellou, Yacine Amirat   +5 more
doaj   +1 more source

The Use of Inertial Measurement Units for the Study of Free Living Environment Activity Assessment: A Literature Review

Sensors, 2020
This article presents an overview of fifty-eight articles dedicated to the evaluation of physical activity in free-living conditions using wearable motion sensors.
Sylvain Jung, Mona Michaud, Laurent Oudre, Eric Dorveaux, Louis Gorintin, Nicolas Vayatis, Damien Ricard   +6 more
doaj   +1 more source

Personalised Gait Recognition for People with Neurological Conditions

Sensors, 2022
There is growing interest in monitoring gait patterns in people with neurological conditions. The democratisation of wearable inertial sensors has enabled the study of gait in free living environments.
Leon Ingelse, Diogo Branco, Hristijan Gjoreski, Tiago Guerreiro, Raquel Bouça-Machado, Joaquim J. Ferreira, The CNS Physiotherapy Study Group   +6 more
doaj   +1 more source

Utility of accelerometers to measure physical activity in children attending an obesity treatment intervention [PDF]

, 2011
Objectives. To investigate the use of accelerometers to monitor change in physical activity in a childhood obesity treatment intervention. Methods. 28 children aged 7–13 taking part in “Families for Health” were asked to wear an accelerometer (Actigraph)
Robertson, Wendy, Stewart-Brown, Sarah, Wendy Robertson, Michelle Oldfield, Wilcock, Elizabeth, Elizabeth Wilcock, Margaret Thorogood, Horton, Elizabeth; id_orcid, Thorogood, Margaret, Oldfield, Michelle, Stewart-Brown, Sarah L., Sarah Stewart-Brown   +11 more
core   +1 more source

Classification of sporting activities using smartphone accelerometers [PDF]

, 2013
In this paper we present a framework that allows for the automatic identification of sporting activities using commonly available smartphones. We extract discriminative informational features from smartphone accelerometers using the Discrete Wavelet ...
Noel O\u27Connor, O'Connor, Noel E., Mitchell, Edmond, Monaghan, David, David Monaghan, Edmond Mitchell, O\u27Connor, Noel E., Noel E. O'Connor   +7 more
core   +2 more sources

Physical Activity, Sedentary Time, and Cardiovascular Disease Biomarkers at Age 60 to 64 Years

Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2018
Background We examined associations of objectively measured physical activity (PA) and sedentary time with cardiovascular disease biomarkers at age 60 to 64 years. This included investigation of sex differences and the extent to which associations may be
Ahmed Elhakeem, Rachel Cooper, Peter Whincup, Soren Brage, Diana Kuh, Rebecca Hardy   +5 more
doaj   +1 more source

The Relationship between Objectively Measured Physical Activity and Fundamental Motor Skills in 8 to 11 Years Old Children from the Czech Republic [PDF]

Montenegrin Journal of Sports Science and Medicine, 2018
Th e aim of this research was to explore the relationship between objectively measured physical activity and fundamental motor skills in 8-to-11-year-old children from the Czech Republic.
Vlado Balaban
doaj   +1 more source