Comparative Anthropometry of the Hand

White, Robert M.

doi:10.21236/ada101070

Cited by 20 publications

(12 citation statements)

References 2 publications

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“…Similarly to studies with human subjects the diameters were chosen to be 3, 6, 9, 12 and 15 mm, all embedded at a depth of 5 mm. Larger nodule is not considered, as the diameter of the indenter (8 mm) is approximately half size compared to the average width of the index finger’s fingertip that is 17 mm, according to reports in [ 35 , 36 ]. Therefore, the robotic identification is performed both for nodules that can be difficult for humans to sense and that are easier to perceive.…”

Section: Robotic Implementation Of the Algorithm For Local Palpationmentioning

confidence: 99%

Palpation force modulation strategies to identify hard regions in soft tissue organs

et al. 2017

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This paper presents experimental evidence for the existence of a set of unique force modulation strategies during manual soft tissue palpation to locate hard abnormalities such as tumors. We explore the active probing strategies of defined local areas and outline the role of force control. In addition, we investigate whether the applied force depends on the non-homogeneity of the soft tissue. Experimental results on manual palpation of soft silicone phantoms show that humans have a well defined force control pattern of probing that is used independently of the non-homogeneity of the soft tissue. We observed that the modulations of lateral forces are distributed around the mean frequency of 22.3 Hz. Furthermore, we found that the applied normal pressure during probing can be modeled using a second order reactive autoregressive model. These mathematical abstractions were implemented and validated for the autonomous palpation for different stiffness parameters using a robotic probe with a rigid spherical indentation tip. The results show that the autonomous robotic palpation strategy abstracted from human demonstrations is capable of not only detecting the embedded nodules, but also enhancing the stiffness perception compared to static indentation of the probe.

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Section: Robotic Implementation Of the Algorithm For Local Palpationmentioning

confidence: 99%

Palpation force modulation strategies to identify hard regions in soft tissue organs

et al. 2017

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“…To determine whether there was any evidence of the “fat finger” issue, a series of correlations were conducted between WPM, WER, hand width, index finger width, and index finger length for all conditions. The range of participants’ hand widths was representative of the 1st–75th percentile of adult men and women (White, 1980). No significant correlations were found, p > .05 ( r values ranged from –.35 to +.36).…”

Section: Resultsmentioning

confidence: 99%

Typing on a Smartwatch While Mobile: A Comparison of Input Methods

Turner¹,

Chaparro

2020

Hum Factors

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Objective The user experience of typing on a smartwatch was evaluated with three unique input methods (tap, trace, and handwriting) while standing and while walking. Background Despite widespread development within the technology industry, smartwatches have had a relatively slow adoption worldwide compared to smartphones. One limiting factor of smartwatches has been the lack of an efficient means of text entry. The 2017 release of Android Wear addressed this issue by providing support for native text entry (i.e., tap, trace, and handwriting). Determining how user performance and subjective ratings compare across these input methods is essential to understanding their contribution to smartwatch user experience. Method Twenty college-age individuals typed phrases using tap, trace, and handwriting input on a smartwatch in three different mobility scenarios (standing, walking a simple course, walking a complex course). Results Participants typed faster with trace (30 words per minute; WPM) than with tap (20 WPM) and handwriting (18 WPM), regardless of mobility. Trace also outperformed tap and handwriting across all subjective metrics, regardless of mobility. Conclusion Trace input appears to be especially well suited for typing on a smartwatch as it was found to be objectively and subjectively superior to tap and handwriting regardless of user mobility. Objectively, typing speeds with trace are shown to be nearly two times faster than most alternative input methods described in the literature. Application Results suggest smartwatch manufacturers should include QWERTY keyboards with trace input as a standard feature in order to provide the best overall typing experience for their users.

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“…In case of update failure, the application asks the user for new values of the parameters. To avoid model faults, anthropometrical data, such as in White (1980) can be used for setting ranges for hand measures/ parameters. As the online application can be accessed through common web browsers, installing other specific software is not required to get the STL and pdf files.…”

Section: Customized Splints Online Applicationmentioning

confidence: 99%

Fast production of customized three-dimensional-printed hand splints

Popescu

Zapciu

Tarbă

et al. 2020

RPJ

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Purpose This paper aims to propose a new solution for producing customized three-dimensional (3D)-printed flat-shaped splints, which are then thermoformed to fit the patient’s hand. The splint design process is automated and is available to clinicians through an online application. Design/methodology/approach Patient anthropometric data measured by clinicians are associated with variables of parametric 3D splint models. Once these variables are input by clinicians in the online app, customized stereo lithography (STL) files for both splint and half mold, in the case of the bi-material splint, are automatically generated and become available for download. Bi-materials splints are produced by a hybrid manufacturing process involving 3D printing and overmolding. Findings This approach eliminates the need for 3D CAD-proficient clinicians, allows fast generation of customized splints, generates two-dimensional (2D) drawings of splints for verifying shape and dimensions before 3D printing and generates the STL files. Automation reduces splint design time and cost, while manufacturing time is diminished by 3D printing the splint in a flat position. Practical implications The app could be used in clinical practice. It meets the demands of mass customization using 3D printing in a field where individualization is mandatory. The solution is scalable – it can be extended to other splint designs or to other limbs. 3D-printed tailored splints can offer improved wearing comfort and aesthetic appearance, while maintaining hand immobilization, allowing visually controlled follow-up for edema and rapidly observing the need for revision if necessary. Originality/value An online application was developed for uploading patient measurements and downloading 2D drawings and STL files of customized splints. Different models of splints can be designed and included in the database as alternative variants. A method for producing bi-materials flat splints combining soft and rigid polymers represents another novelty of the research.

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Comparative Anthropometry of the Hand

Cited by 20 publications

References 2 publications

Palpation force modulation strategies to identify hard regions in soft tissue organs

Palpation force modulation strategies to identify hard regions in soft tissue organs

Typing on a Smartwatch While Mobile: A Comparison of Input Methods

Fast production of customized three-dimensional-printed hand splints

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