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Advisor(s)
Abstract(s)
Aging and sedentarism are two main challenges for social and health
systems in modern societies. To face these challenges a new generation of ICT
based solutions is being developed to promote active aging, prevent sedentarism
and find new tools to support the large populations of patients that suffer chronic
conditions as result of aging. Such solutions have the potential to transform
healthcare by optimizing resource allocation, reducing costs, improving diagno ses and enabling novel therapies, thus increasing quality of life.
The primary goal of the “AHA: Augmented Human Assistance” project is to de velop novel assistive technologies to promote exercise among the elderly and
patients of motor disabilities. For exercise programs to be effective, it is essential
that users and patients comply with the prescribed schedule and perform the ex ercises following established protocols. Until now this has been achieved by hu man monitoring in rehabilitation and therapy session, where the clinicians or
therapists permanently accompany users or patient. In many cases, exercises are
prescribed for home performance, in which case it is not possible to validate their
execution. In this context, the AHA project is an integrative and cross-discipli nary approach of 4 Portuguese universities, the CMU, and 2 Portuguese industry
partners, that combines innovation and fundamental research in the areas of hu man-computer interaction, robotics, serious games and physiological computing
(see partner list in Appendix A). In the project, we capitalize on recent innova tions and aim at enriching the capabilities and range of application of assistive
devices via the combination of (1) assistive robotics; (2) technologies that use
well-understood motivational techniques to induce people to do their exercises in
the first place, and to do them correctly and completely; (3) tailored and relevant
guidance in regard to health care and social support and activities; and (4) tech nologies to self-monitoring and sharing of progress with health-care provider enabling clinicians to fine-tune the exercise regimen to suit the participant’s ac tual progress.
We highlight the development of a set of exergames (serious games controlled
by the movement of the user’s body limbs) specifically designed for the needs of
the target population according to best practices in sports and human kinetics
sciences. The games can be adapted to the limitations of the users (e.g. to play in
a sitting position) so a large fraction of the population can benefit from them. The
games can be executed with biofeedback provided from wearable sensors, to pro duce more controlled exercise benefits. The games can be played in multi-user
settings, either in cooperative or competitive mode, to promote the social rela tions among players. The games contain regional motives to trigger memories
from the past and other gamification techniques that keep the users involved in
the exercise program. The games are projected in the environment through aug mented reality techniques that create a more immersive and engaging experience
than conventional displays. Virtual coach techniques are able to monitor the cor rectness of the exercise and provide immediate guidance to the user, as well as
providing reports for therapists. A socially assistive robot can play the role of the
coach and provide an additional socio-cognitive dimension to the experience to
complement the role of the therapist. A web service that records the users’ per formances and allows the authorized therapists to access and configure the exer cise program provides a valuable management tool for caregivers and clinical
staff. It can also provide a social network for players, increasing adherence to the
therapies.
We have performed several end-user studies that validate the proposed ap proaches. Together, or in isolation, these solutions provide users, caregivers,
health professionals and institutions, valuable tools for health promotion, disease
monitoring and prevention.
Description
Keywords
Active aging Serious games Assistive robotics Augmented reality Virtual coach . Faculdade de Ciências Sociais Faculdade de Ciências Exatas e da Engenharia
Citation
Gouveia, É.; Bernardino, A.; Cameirão, M.; Cardona, J.; Gonçalves, A.; Paulino, T.; Sousa, H.; Avelino, J.; Simão, H.; Baptista, M.; Carnide, M.; Belo, D.; Gamboa, H.; Smailagic, A.; Siewiorek, D.; Lee, M.; Čaić, M.; Mahr, D.; Odekerken-Schröder, G. and Bermúdez i Badia, S. (2017). Augmented Human Assistance (AHA). In OPPORTUNITIES AND CHALLENGES for European Projects - EPS Portugal 2017/2018; ISBN 978-989-758-361-2, SciTePress, pages 20-41. DOI: 10.5220/0008861800200041
Publisher
SciTePress