The Validation of the Actigraph GT3X Step Counter in Youth Who Are Blind

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Elizabeth Lenz ◽  
Brooke Starkoff ◽  
Lauren Lieberman ◽  
Danny Too
Keyword(s):  
Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4033
Author(s):  
Peng Ren ◽  
Fatemeh Elyasi ◽  
Roberto Manduchi

Pedestrian tracking systems implemented in regular smartphones may provide a convenient mechanism for wayfinding and backtracking for people who are blind. However, virtually all existing studies only considered sighted participants, whose gait pattern may be different from that of blind walkers using a long cane or a dog guide. In this contribution, we present a comparative assessment of several algorithms using inertial sensors for pedestrian tracking, as applied to data from WeAllWalk, the only published inertial sensor dataset collected indoors from blind walkers. We consider two situations of interest. In the first situation, a map of the building is not available, in which case we assume that users walk in a network of corridors intersecting at 45° or 90°. We propose a new two-stage turn detector that, combined with an LSTM-based step counter, can robustly reconstruct the path traversed. We compare this with RoNIN, a state-of-the-art algorithm based on deep learning. In the second situation, a map is available, which provides a strong prior on the possible trajectories. For these situations, we experiment with particle filtering, with an additional clustering stage based on mean shift. Our results highlight the importance of training and testing inertial odometry systems for assisted navigation with data from blind walkers.


IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 13028-13037 ◽  
Author(s):  
Vincenzo Genovese ◽  
Andrea Mannini ◽  
Angelo M. Sabatini
Keyword(s):  

BMJ Open ◽  
2017 ◽  
Vol 7 (3) ◽  
pp. e011742 ◽  
Author(s):  
Charlotte Brun Thorup ◽  
Jan Jesper Andreasen ◽  
Erik Elgaard Sørensen ◽  
Mette Grønkjær ◽  
Birthe Irene Dinesen ◽  
...  

JMIRx Med ◽  
10.2196/20461 ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. e20461 ◽  
Author(s):  
Shannon Cerbas ◽  
Arpad Kelemen ◽  
Yulan Liang ◽  
Cecilia Sik-Lanyi ◽  
Barbara Van de Castle

Background Physical activity mobile apps may encourage patients with cancer to increase exercise uptake, consequently decreasing cancer-related fatigue. While many fitness apps are currently available for download, most are not suitable for patients with cancer due to the unique barriers these patients face, such as fatigue, pain, and nausea. Objective The aim of this study is to design, develop, and perform alpha testing of a physical activity mobile health game for hematopoietic stem cell transplant (HSCT) patients. The ultimate future goal of this project is to motivate HSCT patients to increase physical activity and provide them with a safe and fun way to exercise. Methods A mobile health game called Walking Warrior was designed as a puzzle game where tiles are moved and matched. Walking Warrior interfaces with an open-source step counter and communicates with a central online MySQL database to record game play and walking performance. The game came to fruition after following an iterative process model with several prototypes. Game developers and bone marrow transplant nurses were recruited to perform an expert usability evaluation of the Walking Warrior prototype by completing a heuristic questionnaire and providing qualitative suggestions for improvement. Experts also made qualitative recommendations for improvements on speed, movement of tiles, appearance, and accuracy of the step counter. We recruited 5 additional usability evaluators who searched for and compared 4 open-source step counter programs, then qualitatively compared them for accuracy, robustness, cheat proofing, ease of use, and battery drain issues. Patient recruitment is planned at a later stage in this project. This paper only describes software design, development, and evaluation, rather than behavioral evaluation (ie, impact on physical activity), which is the long-term goal of this project. Results Internal consistency and the instrument’s reliability evaluation results from 1 clinical expert and 4 technical experts were deemed excellent (Cronbach α=.933). A hierarchical cluster analysis of the questionnaire item responses for similarity/dissimilarity among the experts indicated that the two expert groups were not clustered into two separate groups in the dendrogram. This indicates that the item responses were not affected by profession. Factor analyses indicate that responses from the 40-item questionnaire were classified into five primary factors. The associated descriptive statistics for each of these categories were as follows (on a scale of 1 to 5): clarity and ease (median 4; mean 3.7, SD 0.45), appropriateness (median 4; mean 3.7, SD 0.49), game quality (median 3.5; mean 3.3, SD 0.42), motivation to walk (median 3; mean 3.1, SD 0.58), and mental effort (median 3.5; mean 3.1, SD 1.27). Conclusions The evaluation from experts and clinicians provided qualitative information to further improve game design and development. Findings from the expert usability evaluation suggest the game’s assets of clarity, ease of use, appropriateness, quality, motivation to walk, and mental effort were all favorable. This mobile game could ultimately help patients increase physical activity as an aid to recovery.


Author(s):  
E.S. Bogomolova ◽  
N.V. Kotova ◽  
S.N. Kovalchuk ◽  
E.A. Olyushina ◽  
A.S. Kiseleva ◽  
...  

Functional body reserves determine the level of functional systems activity, the state of performance and indicate the impact of environmental factors on health as a whole. The paper presents an assessment of the level of adaptive body capabilities in high school students with different motor activity in innovative school. The study involved 308 students (girls – 211, boys – 97) at the age of 15–18 years. The functional tests with a load are used to assess the functional reserves: Martin Kushelevsky test, Orthostatic Test, Shtange’s test, Genchi test, Rhomberg’s Test. The method of step counter «Pedometer by ITO Technologies, Inc» and the method of survey «Questionnaires for the study of medical and social causes of deviations in health and diseases in children» are used to assess the motor activity of students. Screening results of the functional reserves level showed that more than half of students in innovation school performed functional tests only satisfactorily, high school students with an excellent level of functional reserves were identified only among girls in 10th grade (0.6 %). Functional indicators of persons with a higher level of motor activity are higher than those with lower motor activity.


1998 ◽  
Vol 30 (Supplement) ◽  
pp. 11 ◽  
Author(s):  
J. Differding ◽  
G. J. Welk ◽  
P. Hart ◽  
J. Abate ◽  
S. Symington

1998 ◽  
Vol 30 (Supplement) ◽  
pp. 11
Author(s):  
J. Dziura ◽  
G. J. Welk ◽  
C. Fuchs ◽  
A. Arola ◽  
A. Dunn
Keyword(s):  

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