Augmented Human Assistance (AHA)

Élvio Rúbio Gouveia, Alexandre Bernardino, Mónica S. Cameirão, John Muñoz Cardona, Afonso Gonçalves, Teresa Paulino, Honorato Sousa, João Avelino, Hugo Simão, Maria de Fátima Marcelina Baptista, Maria Filomena Araújo da Costa Cruz Carnide, David Belo, Hugo Gamboa, Assim Smailagic, Dan Siewiorek, Min Hun Lee, Martina Čaić, Dominik Mahr, Gaby Odekerken-Schröder, Sergi Bermúdez i Badia

2017

Abstract

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 diagnoses and enabling novel therapies, thus increasing quality of life. The primary goal of the “AHA: Augmented Human Assistance” project is to develop 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 exercises following established protocols. Until now this has been achieved by human 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-disciplinary approach of 4 Portuguese universities, the CMU, and 2 Portuguese industry partners, that combines innovation and fundamental research in the areas of human- computer interaction, robotics, serious games and physiological computing (see partner list in Appendix A). In the project, we capitalize on recent innovations 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) technologies to self-monitoring and sharing of progress with health-care providers, enabling clinicians to fine-tune the exercise regimen to suit the participant’s actual 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 produce more controlled exercise benefits. The games can be played in multi-user settings, either in cooperative or competitive mode, to promote the social relations 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 augmented reality techniques that create a more immersive and engaging experience than conventional displays. Virtual coach techniques are able to monitor the correctness 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’ performances and allows the authorized therapists to access and configure the exercise 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 approaches. Together, or in isolation, these solutions provide users, caregivers, health professionals and institutions, valuable tools for health promotion, disease monitoring and prevention.

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Paper Citation


in Harvard Style

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 - Volume 1: EPS Portugal 2017/2018, ISBN 978-989-758-361-2, pages 20-41. DOI: 10.5220/0008861800200041


in Bibtex Style

@conference{eps portugal 2017/201817,
author={Élvio Rúbio Gouveia and Alexandre Bernardino and Mónica S. Cameirão and John Muñoz Cardona and Afonso Gonçalves and Teresa Paulino and Honorato Sousa and João Avelino and Hugo Simão and Maria de Fátima Marcelina Baptista and Maria Filomena Araújo da Costa Cruz Carnide and David Belo and Hugo Gamboa and Assim Smailagic and Dan Siewiorek and Min Hun Lee and Martina Čaić and Dominik Mahr and Gaby Odekerken-Schröder and Sergi Bermúdez i Badia},
title={Augmented Human Assistance (AHA)},
booktitle={OPPORTUNITIES AND CHALLENGES for European Projects - Volume 1: EPS Portugal 2017/2018,},
year={2017},
pages={20-41},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008861800200041},
isbn={978-989-758-361-2},
}


in EndNote Style

TY - CONF

JO - OPPORTUNITIES AND CHALLENGES for European Projects - Volume 1: EPS Portugal 2017/2018,
TI - Augmented Human Assistance (AHA)
SN - 978-989-758-361-2
AU - Gouveia É.
AU - Bernardino A.
AU - Cameirão M.
AU - Cardona J.
AU - Gonçalves A.
AU - Paulino T.
AU - Sousa H.
AU - Avelino J.
AU - Simão H.
AU - Baptista M.
AU - Carnide M.
AU - Belo D.
AU - Gamboa H.
AU - Smailagic A.
AU - Siewiorek D.
AU - Lee M.
AU - Čaić M.
AU - Mahr D.
AU - Odekerken-Schröder G.
AU - Bermúdez i Badia S.
PY - 2017
SP - 20
EP - 41
DO - 10.5220/0008861800200041