eHealthPortal: A Social Support Hub for the Active Living of the Elderly

The absolute and relative increases in the number of elderly are evident worldwide, from the most developed countries to the lowest-income regions. The fast demographic transition poses great challenges to the healthcare system and introduces a significant burden to the elderly and their family. To meet the unprecedented challenges of global aging, various aging-in-place (AIP) solutions have been proposed to enable the elderly to live in their own home and community safely, independently and comfortably. Elderly need support in various aspects, such as physical, cognitive, emotional, and social, in their daily life. However, most existing AIP solutions provide support in one or two aspects only and many focus on anomaly detection rather than deliver care or companionship. To better facilitate eldercare at home, we propose eHealthPortal, which is a social support hub for the active living of the elderly. By crowdsourcing help and support from the users' family and friends, caregivers, and doctors, eHealthPortal cares for the wellness of the elderly in all the four aforementioned key aspects. As a novel feature of the system, eHealthPortal is supported by a group of virtual and robotic agents for providing reliable sensing in unobtrusive ways seamlessly, tender caring in a holistic manner proactively, and actual companionship in natural forms constantly.

[1]  David DeVault,et al.  Toward Rapid Development of Multi-Party Virtual Human Negotiation Scenarios , 2011 .

[2]  Aaron C. T. Smith Older adults and technology use , 2014 .

[3]  A. Stewart,et al.  CHAMPS physical activity questionnaire for older adults: outcomes for interventions. , 2001, Medicine and science in sports and exercise.

[4]  Sung-Bae Cho,et al.  AniDiary: Daily Cartoon-Style Diary Exploits Bayesian Networks , 2007, IEEE Pervasive Computing.

[5]  Ah-Hwee Tan,et al.  Mobile humanoid agent with mood awareness for elderly care , 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

[6]  Shan Gao,et al.  Progressive Sequence Matching for ADL Plan Recommendation , 2015, 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT).

[7]  D. Estrin,et al.  Open mHealth Architecture: An Engine for Health Care Innovation , 2010, Science.

[8]  Ah-Hwee Tan,et al.  Silver Assistants for Aging-in-Place , 2015, 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT).

[9]  Feng Zhou,et al.  A Case-Driven Ambient Intelligence System for Elderly in-Home Assistance Applications , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[10]  Sara J. Czaja,et al.  Computer Technology and the Older Adult , 1997 .

[11]  M. McDaniel,et al.  Prospective Memory: An Overview and Synthesis of an Emerging Field , 2007 .

[12]  Allen R. Hanson,et al.  Aging in place: fall detection and localization in a distributed smart camera network , 2007, ACM Multimedia.

[13]  Roni Stern,et al.  Collaborative health care plan support , 2013, AAMAS.

[14]  Ah-Hwee Tan,et al.  Towards intelligent caring agents for Aging-In-Place: Issues and challenges , 2014, 2014 IEEE Symposium on Computational Intelligence for Human-like Intelligence (CIHLI).

[15]  Daqing Zhang,et al.  Non-Intrusive Robust Human Activity Recognition for Diverse Age Groups , 2015, 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT).

[16]  Shan Gao,et al.  User daily activity pattern learning: A multi-memory modeling approach , 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

[17]  L. Fried,et al.  Global Population Ageing: Peril or Promise? , 2012 .

[18]  Chunyan Miao,et al.  An Adaptive Computational Model for Personalized Persuasion , 2015, IJCAI.

[19]  Qing Guo,et al.  Balancing energy, latency and accuracy for mobile sensor data classification , 2011, SenSys.

[20]  Chunyan Miao,et al.  Human-Centred Design for Silver Assistants , 2016, 2016 IEEE International Conference on Agents (ICA).

[21]  Andrew T. Campbell,et al.  BeWell: Sensing Sleep, Physical Activities and Social Interactions to Promote Wellbeing , 2014, Mobile Networks and Applications.

[22]  Chunyan Miao,et al.  Elderly friendliness evaluation of mobile assistants , 2017, 2017 IEEE International Conference on Agents (ICA).

[23]  Nicholas J Farber,et al.  Aging in Place: A State Survey of Livability Policies and Practices , 2011 .