10.5281/zenodo.1199531
https://zenodo.org/records/1199531
oai:zenodo.org:1199531
Stelios Hadjidimitriou
Stelios Hadjidimitriou
Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki GR-54124 Thessaloniki, Greece
Dimitrios Iakovakis
Dimitrios Iakovakis
Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki GR-54124 Thessaloniki, Greece
Vasileios Charisis
Vasileios Charisis
Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki GR-54124 Thessaloniki, Greece
Sofia B. Dias
Sofia B. Dias
Faculdade de Motricidade Humana, Universidade de Lisboa, 1499-002 Cruz Quebrada, Lisbon, Portugal
José A. Diniz
José A. Diniz
Faculdade de Motricidade Humana, Universidade de Lisboa, 1499-002 Cruz Quebrada, Lisbon, Portugal
Leontios J. Hadjileontiadis
Leontios J. Hadjileontiadis
Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki GR-54124 Thessaloniki, Greece; Department of Electrical & Computer Engineering, Khalifa University, PO BOX 127788, Abu Dhabi, UAE
On capturing older adults' smartphone keyboard interaction as a means for behavioral change under emotional stimuli within i-PROGNOSIS framework
Zenodo
2017
Older Adults
Healthy Ageing
Emotional States
Smartphone Keyboard Typing
Key Hold Time
Key Alteration Time
Key Pressure
i-PROGNOSIS
2017-05-16
eng
10.5281/zenodo.1199530
https://zenodo.org/communities/eu
Creative Commons Attribution 4.0 International
The unobtrusive use of smartphone technology, as a facilitator and as a means of capturing the daily activities, can be seen as a great challenge in routine monitoring and in promoting behavioural change in older adults. In the present study, a protocol of a sequence of emotional stimuli database was combined with a sequence of emotion-free text typing using a dedicated keyboard of a smartphone and used for capturing the users’ patterns of typing, in terms of hold time (HT), alteration time (AT) and pressure (PR) of each key. Six older adults (three male/female) were employed in the study and sequences of images with facial expressions of Ekman’s six basic emotions (with the addition of the neutral one) were used as stimuli in a three-trial fashion. Statistical analysis of HT, AT and PR data revealed differences in the typing due to emotions alteration, setting a new domain for the analysis and behavioural modeling of older adults’ typing patterns under specific emotional stimuli. This combinatory approach amongst emotional and physical status could be adopted in the field of intelligent monitoring of the healthy ageing and could be extended to elderlies’ pathology cases, such as Parkinson’s disease, as approached by the i-PROGNOSIS initiative.
European Commission
10.13039/501100000780
690494
Intelligent Parkinson eaRly detectiOn Guiding NOvel Supportive InterventionS