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10 results for “touchscreen”
Keystroke timing and pressure data captured during touchscreen typing by early Parkinson's disease patients and healthy controls
<p><strong>DATASET</strong></p> <p>The present dataset comprises keystroke timing and pressure data that correspond to short text excerpts typed by early Parkinson’s disease (PD) patients (n=18) and healthy controls (n=15) on a common touchscreen-equipped smartphone (LG Nexus 5X with a screen of 5.2 inches in diagonal and a resolution of 1080 × 1920 pixels, running native Android 7.0). Subjects were asked to transcribe up to 11 short text excerpts, with the initial one being 200 characters-long and common for all subjects, while the rest were 40-115 characters-long, pseudorandomly drawn from the fairy tale 'The Little Prince'. Data were recorded using a custom Android Operating System input method (keyboard), developed for the purposes of the study. Additional details on exepriment design, material and methods can be found in the related research article mentioned below. </p> <p>Data consist of sequences of raw press and release timestamps (in milliseconds), as well as of values of normalized pressure (0.000-1.000) applied to initiate keystrokes, corresponding to the consecutive keys tapped during the transcription of each text excerpt. Data included in the 'Data' folder are organised in sub-folders per subject. Each sub-folder contains a number of .txt files with each one corresponding to a text excerpt typed by the particular subject. Files are named using the format S##_TEX##.txt, with S## denoting the subject's coded ID and TEX## the serial number of the transcribed text excerpt. For all subjects, file S##_TEX01.txt corresponds to the initial and common 200 characters-long text excerpt. Each file contains the sequences of raw key press/release timestamps (Tp#, Tp#) and normalized pressure (NP#), applied to initiate each keystroke, in the following format:</p> <p>{<br> Press, Tp1, Release, Tr1, NP1<br> Press, Tp2, Release, Tr2, NP2<br> .<br> .<br> . <br> Press, Tpn, Release, Trn, NPn<br> }</p> <p>where 1,2,...,n denote the serial index of the key tapped during typing.</p> <p><em>Note:</em> Out of 33 subjects, 32 managed to transcribe 8 to 11 text excerpts, while the remaining one (Subject ID: 16) typed only 5. Ten subjects (Subject IDs: 6, 14, 16, 17, 25, 27, 29, 31, 32, 33) did not manage to type the initial 200 characters-long excerpt in its entirety.</p> <p>The dataset also includes a record, in Microsoft Excel format (Demographics_Clinical_Characteristics.xlsx), of the demographic and clinical characteristics (with respect to PD) of subjects. Entries of the Excel file are linked to subjects' sub-folders and individual keystroke data text files via the coded ID of the subject.</p> <p>Demographic characteristics included:</p> <p>Age; Gender; Education level; Years of smartphone usage; Dominant hand<sup>1</sup></p> <p>Clinical characteristics included:</p> <p>Group (PD, Control); Years from diagnosis; Hoehn-Yahr disease stage; Most affected side<sup>2</sup>; Levodopa Equivalent Daily Dose; UPDRS_III<sup>3</sup> total score; UPDRS_III Item 21 Tremor-Right hand; UPDRS_III Item 21 Tremor-Left hand; UPDRS_III Item 22 Rigidity-Right hand; UPDRS_III Item 22 Rigidity-Left hand; UPDRS_III Item 23 Finger taps-Right hand; UPDRS_III Item 23 Finger taps-Left hand; UPDRS_III Item 31 Body bradykinesia/ Hypokinesia</p> <p><sup>1</sup>Dominant hand: (Relating to handedness) the operant hand generally used for performing fine motor-skills tasks.<br> <sup>2</sup>Most affected body side by Parkinson's disease<br> <sup>3</sup>UPDRS_III: Unified Parkinson's Disease Rating Scale Part III (Motor section)</p> <p> </p> <p><strong>RELATED RESEARCH</strong></p> <p>This dataset was originally used and described in the OPEN ACCESS publication: </p> <p>[1] Iakovakis, D., Hadjidimitriou, S., Charisis, V., Bostantzopoulou, S., Katsarou, Z., & Hadjileontiadis, L. J. (2018). Touchscreen typing-pattern analysis for detecting fine motor skills decline in early-stage Parkinson’s disease. Scientific reports, 8(1), 7663. <a href="http://doi.org/10.1038/s41598-018-25999-0">https://doi.org/10.1038/s41598-018-25999-0</a> </p> <p>All documents and papers that report on research that uses this dataset will acknowledge this by citing the above publication.</p> <p> </p> <p><strong>ETHICS & FUNDING</strong></p> <p>The study during which the present dataset was collected was approved by the Aristotle University of Thessaloniki Bioethics Committee of Medical School (approval no. 359/3.4.17), Thessaloniki, Greece. Informed consent, including permission for third-party access to pseudo-anonymised data, was obtained from all subjects prior to their engagement with the study. The work has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 690494 - i-PROGNOSIS: Intelligent Parkinson early detection guiding novel supportive interventions (<a href="http://www.i-prognosis.eu">i-prognosis.eu</a>).</p> <p> </p> <p><strong>CORRESPONDANCE</strong></p> <p>Any inquiries regarding this dataset should be adressed to:</p> <p>Mr. Dimitrios Iakovakis (Electrical & Computer Engineer, PhD candidate)</p> <p>Signal Processing & Biomedical Technology Unit<br> Department of Electrical & Computer Engineering<br> Aristotle University of Thessaloniki<br> University Campus, Building D, 6th floor<br> Thessaloniki, Greece, GR54124</p> <p>Tel: +30 2310 996319<br> Fax: +30 2310 996312<br> E-mail: dimiiako12@gmail.com</p> <p> </p> <p><strong>LICENSE</strong></p> <p>This is an open access dataset, licensed under Creative Commons Attribution 4.0 International (<a href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</a>).</p> <p> </p> <p><strong>WARRANTY</strong></p> <p>This dataset comes without any warranty. Administrators of this dataset can not be held accountable for any damage (physical, financial or otherwise) caused by the use of this dataset. </p>
Replication Kit for the work "Automated and non-Automated Usability Testing of Touchscreens in Virtual Reality"
<p>This replication kit for the work "Automated and non-Automated Usability Testing of Touchscreens in Virtual Reality" contains the Unity project on which the case study was performed, the used AutoQUEST version, the with AutoQUEST recorded data and the AutoQUEST save file of the evaluated usability smells.</p>
Infant Nutrition: Evaluation of an Educational Touchscreen Computer Program
ClinicalTrials.gov study NCT01272492. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Touchscreen Technology and Art for People With Dementia in Care Homes
ClinicalTrials.gov study NCT03773016. IPD Sharing: NO. Countries: 1. Publications: 13.
Learning Potential of Patients With Parkinson's Disease After Two Weeks of Targeted Touchscreen Training
ClinicalTrials.gov study NCT05696197. IPD Sharing: UNDECIDED. Countries: 1. Publications: 20.
Data from: Chimpanzee intellect: personality, performance and motivation with touchscreen tasks
Open the record for dataset details and reuse information.
Supplementary data for the paper 'Tool assisted task on touchscreen: a case study on drawing behaviour in chimpanzees (Pan troglodytes)'
<p>Supplementary data for the paper 'Tool assisted task on touchscreen: a case study on drawing behaviour in chimpanzees (Pan troglodytes)'</p> <p>Drawing data (final drawing, spatial and temporal coordinates)</p> <p> </p> <p><strong>Abstract</strong></p> <p>Observations of drawing behaviour in chimpanzees have often focused on the completed drawings. Here, we compared drawing behaviour using fingers or tools on a touch-sensitive monitor between five chimpanzees from the Kumamoto Sanctuary (KS) and two from the Primate Research Institute (PRI), both located at Kyoto University, Japan. Regarding drawing duration, both PRI females drew relatively longer than the other, with the exception of one KS female. However, a long drawing duration did not correspond with a decrease in the number of pauses, which can be interpreted as a lack of concentration or interest. Therefore, to better understand the engagement of individuals, we recorded the time spent looking at the touchscreen. Pan, one of the two PRI females, had the longest drawing periods and spent the most time looking at the screen. We compared her with Ai, the other PRI female, to better understand their individual marking techniques and behaviours. By adapting to each one’s specific behaviour and previous experience with tool-assisted drawing on paper, we offered the females appropriate tools for making marks on the touchscreen. Our results indicate that electronic devices are not limiting in the expression of drawing behaviour. The females did not have the same drawing technique and also showed different types of engagement as motivation, which could not have been detected by only studying the completed drawings. By focusing more on the process rather than on the drawings themselves, we try to show inter-individual differences in drawing behaviour of chimpanzees and the relevance to adapt to it as experimenters.</p>
Integrating Touchscreen-based Geriatric Assessment and Frailty Screening for Adults With Multiple Myeloma
ClinicalTrials.gov study NCT03068637. IPD Sharing: NO. Countries: 1. Publications: 0.
Touchscreen-based Cognitive Tests in Healthy Volunteers
ClinicalTrials.gov study NCT03469089. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
ImPACT Version 4-Touchscreen: Normative and Reliability Study
ClinicalTrials.gov study NCT05551520. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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