Panos Markopoulos
ABSTRACT
Well-known trends pertaining to the aging of population and the rising costs of healthcare motivate the development of rehabilitation technology. There is a considerable body of work in this area including efforts to make serious games, virtual reality and robotic applications. While innovative technologies have been introduced over the years, and often researchers produce promising experimental results, these technologies have not yet delivered the anticipated benefits. The causes for this apparent failure are evident when looking a closer look at the case of stroke rehabilitation, which is one of the heaviest researched topics for developing rehabilitation technologies. It is argued that improvements should be sought by centering the design on an understanding of patient needs, allowing patients, therapists and care givers in general to personalize solutions to the need of patients, effective feedback and motivation strategies to be implemented, and an in depth understanding of the socio-technical system in which the rehabilitation technology will be embedded. These are classic challenges that human computer interaction (HCI) researchers have been dealing with for years, which is why the field of rehabilitation technology requires considerable input from HCI researchers, and which explains the growing number of relevant HCI publications pertaining to rehabilitation. The talk reviews related research carried out at the Eindhoven University of Technology together with collaborating institutes, which has examined the value of tangible user interfaces and embodied interaction in rehabilitation, how designing playful interactions or games with a functional purpose., feedback design. I shall discuss the work we have done to develop rehabilitation technologies for the TagTrrainer system in the doctoral research of Daniel Tetteroo [2,3,4] and the explorations on wearable solutions in the doctoral research of Wang Qi.[5,6]. With our research being design driven and explorative, I will discuss also the current state of the art for the field and the challenges that need to be addressed for human computer interaction research to make a larger impact in the domain of rehabilitation technology.
- http://www.idemployee.id.tue.nl/p.markopoulos/Google Scholar
- Daniel Tetteroo, Paul Vreugdenhil, Ivor Grisel, Marc Michielsen, Els Kuppens, Diana Vanmulken, and Panos Markopoulos. 2015. Lessons Learnt from Deploying an End-User Development Platform for Physical Rehabilitation. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI '15). ACM, New York, NY, USA, 4133--4142. Google ScholarDigital Library
- Daniel Tetteroo, Annick A.A. Timmermans, Henk Seelen, Panos Markopoulos, 2014 TagTrainer: supporting exercise variability and tailoring in technology supported upper limb training. Journal of neuroengineering and rehabilitation, 11(1)Google ScholarCross Ref
- Daniel Tetteroo, Lilha Willems, L.,Panos Markopoulos. 2015. Patient feedback design for stroke rehabilitation technology. In International Joint Conference on Biomedical Engineering Systems and Technologies (pp. 357--371). Springer International Publishing.Google ScholarCross Ref
- Qi Wang, Panos Markopoulos, and Wei Chen. 2014. Smart rehabilitation garment design for arm-hand training. In Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth '14). ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), ICST, Brussels, Belgium, Belgium, 328--330. Google ScholarDigital Library
- Wang, Q., Toeters, M., Chen, W., Timmermans, A., & Markopoulos, P. (2016, May). Zishi: A Smart Garment for Posture Monitoring. In Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems (pp. 3792--3795). ACM. Google ScholarDigital Library
Index Terms
- Interaction Design for Rehabiliation
Recommendations
Zishi: A Smart Garment for Posture Monitoring
CHI EA '16: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing SystemsZishi is a garment designed to support posture monitoring for the purposes of rehabilitation training. It has been designed with attention to presenting accurate and informative feedback to patients regarding their thoracic and shoulder posture as well ...
Design and implementation of NTU wearable exoskeleton as an enhancement and assistive device
This article presents a wearable lower extremity exoskeleton LEE developed to enhance the ability of a human's walking while carrying heavy loads. The ultimate goal of the current research work is to design and control a power assist system that ...
sEMG-based continuous estimation of joint angles of human legs by using BP neural network
In this paper, we propose an mth order nonlinear model to describe the relationship between the surface electromyography (sEMG) signals and the joint angles of human legs, in which a simple BP neural network is built for the model estimation. The inputs ...
Comments