18 papers · ranked by Valyu relevance
Che-Chang Yang, Yeh-Liang Hsu
Characteristics of physical activity are indicative of one’s mobility level, latent chronic diseases and aging process. Accelerometers have been widely accepted as useful and practical sensors for wearable devices to measure and assess physical activity. This paper reviews the development of wearable…
Craig A. Staunton, Peter Edholm, Bernardo N. Ide, Massimiliano Ditroilo + 1 more
PlayerLoad™ is the most widely used accelerometer-derived metric for quantifying external demands in sport. Its normalized variant, PlayerLoad·min−1, is also commonly used as a marker of exercise intensity. However, recent literature has raised concerns regarding its scientific foundation, including inconsistent…
Jessica L. Rudd, Martin A. Collins, David Righton, Holly L. White + 3 more
The use of animal-borne devices to measure acceleration has yielded insights into animal locomotion, behaviour and energy expenditure. We present the first systematic review of accelerometry on animals, spanning 60 years, across ecology, biomechanics, agriculture, neurosciences, medical and veterinary sciences from…
Marta Karas, Jiawei Bai, Marcin Strączkiewicz, Jaroslaw Harezlak + 5 more
Wearable accelerometers provide detailed, objective, and continu-ous measurements of physical activity (PA). Recent advances in technology and the decreasing cost of wearable devices led to an explosion in the popula-rity of wearable technology in health research. An ever increasing number of studies collect…
Louise A Kelly, Duncan GE McMillan, Alexandra Anderson, Morgan Fippinger + 2 more
'Morgan Fippinger' 'Gunnar Fillerup' 'Jane Rider'] Background Few studies to date have directly compared the Actigraphs GT1M and the GT3X, it would be of tremendous value to know if these accelerometers give similar information about intensities of PA. Knowing if output is similar would have implications for…
Sara Stančin, Sašo Tomažič
We propose calibration methods for microelectromechanical system (MEMS) 3D accelerometers and gyroscopes that are efficient in terms of time and computational complexity. The calibration process for both sensors is simple, does not require additional expensive equipment, and can be performed in the field before or…
Hansong Zeng, Yi Zhao
Recognition of body posture and motion is an important physiological function that can keep the body in balance. Man-made motion sensors have also been widely applied for a broad array of biomedical applications including diagnosis of balance disorders and evaluation of energy expenditure. This paper reviews the…
Michał Kos, Małgorzata Bogdan, Nancy W. Glynn, Jaroslaw Harezlak
Human health is strongly associated with person’s lifestyle and levels of physical activity. Therefore, characterization of daily human activity is an important task. Accelerometers have been used to obtain precise measurements of body acceleration. Wearable accelerometers collect data as a three-dimensional time…
Tao Liu, Jiaang Yao, Bahman Abdi-Sargezeh, Abhinav Sharma + 11 more
Adaptive deep brain stimulation (aDBS) relies on physiological biomarkers to infer motor state and guide therapeutic stimulation in Parkinson’s disease. However, neural biomarkers may themselves be altered by stimulation, potentially limiting their utility for closed-loop control. We address this limitation by testing…
Carlos Alvarado-Serrano, Ghulam Jilani Quadri, Jennifer Adorno Nieves, Paul Rosen
'Paul Rosen'] Every year we grow more dependent on wearable devices to gather personalized data, such as our movements, heart rate, respiration, etc. To capture this data, devices contain sensors, such as accelerometers and gyroscopes, that are able to measure changes in their surroundings and pass along the…
Rebecca Younk, Alik S Widge
Defensive and threat-related behaviors are common targets of investigation, because they model aspects of human mental illness. These behaviors are typically quantified by video recording and post hoc analysis. Those quantifications can be laborious and/or computationally intensive. Depending on the analysis method…
Lacey H. Etzkorn, Amir S. Heravi, Katherine C. Wu, Wendy S. Post + 2 more
As health studies increasingly monitor free-living heart performance via ECG patches with accelerometers, researchers will seek to investigate cardio-electrical responses to physical activity and sedentary behavior, increasing demand for fast, scalable methods to process accelerometer data. We provide the first…
Levin, Michal, Itzik Klein
Low-cost micro-electromechanical accelerometers are widely used in navigation, robotics, and consumer devices for motion sensing and position estimation. However, their performance is often degraded by bias errors. To eliminate deterministic bias terms a calibration procedure is applied under stationary conditions. It…
Christopher Isaac Larnder, Brian Larade
A review of recent accelerometry experiments points to the need for a careful consideration of the question of where, exactly, the accelerometer sensor itself is located within the device that hosts the services required for its operation. We propose a simple measure for characterising the regime of experimental…
Hamed Ketabdar, Jalaluddin Qureshi, Pan Hui
In this paper we propose the use of accelerometer, embedded by default in smartphone, as a cost-effective, reliable and efficient way to provide remote physical activity monitoring for the elderly and people requiring healthcare service. Mobile phones are regularly carried by users during their day-to-day work routine.…
Alexey V. Veryaskin
Moving-base Gravity Gradiometry has emerged from the need to cancel out the effect of kinematic accelerations on gravity measurements in motion. According to the Einstein's Equivalence Principle, a gravimeter mounted on a moving platform cannot distinguish between the force of gravity and the inertial force acting on…
William T. Conlin
Applications of inertial measurement units are extremely diverse, and are expected to see a further increase in number due to current trends in robotics as well as recent advances in Micro Electromechanical sensors (MEMS). The traditional method of inertial measurement has depended on costly, power-intensive…
Mónica Mora, Lucile Riaboff, Ingrid David, Juan Pablo Sánchez + 1 more
accelerometer data using machine learning algorithms Authors: ['Mónica Mora' 'Lucile Riaboff' 'Ingrid David' 'Juan Pablo Sánchez' 'Miriam Piles'] This study explores how wearable accelerometers, small devices that measure acceleration, can help monitor the activity of growing rabbits. We equipped 16 rabbits with these…