2014
DOI: 10.15446/rce.v37n2spe.47951
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Visualizing Gait Patterns of Able bodied Individuals and Transtibial Amputees with the Use of Accelerometry in Smart Phones

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Cited by 7 publications
(9 citation statements)
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References 13 publications
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“…While research has often focused on the enhancement of existing static visualization tools, such as violin plots to express both density and distribution of data (Marmolejo-Ramos and Matsunaga, 2009), these remain limited due to their static nature. Specifically, static visualizations become exponentially more difficult to understand as the complexity of the content they aim to display increases (e.g., Teknomo and Estuar, 2014).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…While research has often focused on the enhancement of existing static visualization tools, such as violin plots to express both density and distribution of data (Marmolejo-Ramos and Matsunaga, 2009), these remain limited due to their static nature. Specifically, static visualizations become exponentially more difficult to understand as the complexity of the content they aim to display increases (e.g., Teknomo and Estuar, 2014).…”
Section: Discussionmentioning
confidence: 99%
“…Frequently, a large number of variables for each data point are available for a small number of cases that will often not fulfill the assumptions required for traditional linear tests (e.g., in offender profiling; Canter and Heritage, 1990s). Finally, with the introduction of mobile technology, applied field-research has the capacity to produce very large data sets through the use of mobile applications (e.g., in identifying friendship networks; Eagle et al, 2009; or displaying individual gait patterns; Teknomo and Estuar, 2014). However, both very small and very large data sets provide a challenge for standard linear representations and testing (Rothman, 1990), which we argue can in-part be compensated for with the use of dynamic data visualizations.…”
Section: Introductionmentioning
confidence: 99%
“…29 The 13 papers on developing or validating actimeters, algorithms or scores for activity classification with lowerlimb prosthesis users mainly focused on development of sensors for monitoring activity. 34,35,37,39,97 However, they also included development of smart-phone software to monitor falls 40 or visualise gait, 98 and papers on comparing sensors, 31,99 validating sensors 38 and validating classification methods. 30 In the case of upper-limb studies, three papers related to the development of algorithms for the assessment of activity.…”
Section: Figure 1 Flow Chart Of Selection and Sorting Methodsmentioning
confidence: 99%
“…Static visualisations typically become exponentially more difficult to understand as the complexity of the content they aim to display increases (Teknomo & Estuar, 2014). However, with careful management, dynamic data visualisations can provide a data format that is more accessible for a variety of user groups including other researchers, practitioners, interested members of the public, and students.…”
Section: Into the Cloud: Generating Impact With Digital Dashboardsmentioning
confidence: 99%