10 papers · ranked by Valyu relevance
Zihan Song, Hye-Jin Park, Ngeemasara Thapa, Ja-Gyeong Yang + 9 more
Current step-count estimation techniques use either an accelerometer or gyroscope sensors to calculate the number of steps. However, because of smartphones unfixed placement and direction, their accuracy is insufficient. It is necessary to consider the impact of the carrying position on the accuracy of the pedometer…
Jing Wang, Ulrich Bork, Sharareh Rostam Niakan Kalhori, George Boateng + 5 more
'George Boateng' 'Curtis L Petersen' 'David Kotz' 'Karen L Fortuna' 'Rebecca Masutani' 'John A Batsis'] Background Older adults who engage in physical activity can reduce their risk of mobility impairment and disability. Short amounts of walking can improve quality of life, physical function, and cardiovascular health.…
Valeria Filippou, Michael R. Backhouse, Anthony C. Redmond, David C. Wong + 5 more
'David C. Wong' 'Ioannis Yiannis Kompatsiaris' 'Stefanos Vrochidis' 'Georgios Meditskos' 'Periklis Chatzimisios' 'Athina Tsanousa'] This study aimed to develop and evaluate a new step-count algorithm, StepMatchDTWBA, for the accurate measurement of physical activity using wearable devices in both healthy and…
C. Ladha, Z. Belshaw, J. O’Sullivan, L. Asher
Background Accelerometer-based technologies could be useful in providing objective measures of canine ambulation, but most are either not tailored to the idiosyncrasies of canine gait, or, use un-validated or closed source approaches. The aim of this paper was to validate algorithms which could be applied to…
Guoliang Chen, Xiaolin Meng, Yunjia Wang, Yanzhe Zhang + 3 more
'Huachao Yang' 'Kourosh Khoshelham'] Because of the high calculation cost and poor performance of a traditional planar map when dealing with complicated indoor geographic information, a WiFi fingerprint indoor positioning system cannot be widely employed on a smartphone platform. By making full use of the hardware…
Buke Ao, Yongcai Wang, Hongnan Liu, Deying Li + 2 more
Walk detection (WD) and step counting (SC) have become popular applications in the recent emergence of wearable devices. These devices monitor user states and process data from MEMS-based accelerometers and optional gyroscope sensors. Various algorithms have been proposed for WD and SC, which are generally sensitive to…
Yong Jun Kwon, Thawda Aung, Sarah M Synovec, Anthony D Oberle + 6 more
The ubiquitous spread of smartphone technology throughout global societies offers an unprecedented opportunity to ethically obtain long-term, highly accurate measurements of individual physical activity. For example, the smartphone intrinsic 3-D accelerometer can be queried during normal phone operation to save time…
Saida Salima Nawrin, Hitoshi Inada, Haruki Momma, Ryoichi Nagatomi
Physical activity is a crucial aspect of health benefits in the public society. Although studies on the temporal physical activity patterns might lead to the protocol for efficient intervention/program, a standardized procedure to determine and analyze the temporal physical activity patterns remains to be developed.…
Rhys Munden, Luca Börger, Rory P. Wilson, James Redcliffe + 3 more
Step selection analysis (SSA) is a fundamental technique for uncovering the drivers of animal movement decisions. Its typical use has been to view an animal as “selecting” each measured location, given its current (and possibly previous) locations. Although an animal is unlikely to make decisions precisely at the times…
David M. Desmet, Joseph P. Cusumano, Jonathan B. Dingwell
To successfully traverse their environment, humans must often perform maneuvers to achieve desired task goals while simultaneously maintaining balance. Humans accomplish these tasks primarily by modulating their foot placements. As humans are more unstable laterally, we must better understand how humans modulate…