A Mechanism for Nominating Video Clips to Provide Assistance for Instrumental Activities of Daily Living

Current assistive smart homes have adopted a relatively rigid approach to modeling activities. The use of these activity models have introduced factors which block adoption of smart home technology. To address this, goal driven smart homes have been proposed, these are based upon more flexible activity structures. However, this goal-driven approach does have a disadvantage where flexibility in this activity modeling can lead to difficulty providing illustrative guidance. To address this, a video analysis and nomination mechanism is required to provide suitable assistive clips for a given goal. This paper introduces a novel mechanism for nominating a suitable video clip given a pool of automatically generated metadata. This mechanism was then evaluated using a voice based assistant application and a tool emulating assistance requests by a goal-driven smart home. The initial evaluation produced promising results.

[1]  Rachael Dutton,et al.  PIA - Practical support for everyday life results of the user tests , 2014, eChallenges e-2014 Conference Proceedings.

[2]  Chris D. Nugent,et al.  Predicting Technology Adoption in People with Dementia; Initial Results from the TAUT Project , 2014, IWAAL.

[3]  S. Katz,et al.  STUDIES OF ILLNESS IN THE AGED. THE INDEX OF ADL: A STANDARDIZED MEASURE OF BIOLOGICAL AND PSYCHOSOCIAL FUNCTION. , 1963, JAMA.

[4]  Chris D. Nugent,et al.  Smart Home Research: Projects and Issues , 2009, Int. J. Ambient Comput. Intell..

[5]  Chris D. Nugent,et al.  COGKNOW: Development of an ICT Device to Support People with Dementia , 2007 .

[6]  Chris D. Nugent,et al.  Automatic Summarization of Activities Depicted in Instructional Videos by Use of Speech Analysis , 2014, IWAAL.

[7]  E. de Luca d'Alessandro,et al.  Aging populations: the health and quality of life of the elderly. , 2011, La Clinica terapeutica.

[8]  Haoyang Che.  A Semantic Web primer , 2006, J. Assoc. Inf. Sci. Technol..

[9]  Diane J. Cook,et al.  How smart are our environments? An updated look at the state of the art , 2007, Pervasive Mob. Comput..

[10]  Athanasios V. Vasilakos,et al.  A Survey on Ambient Intelligence in Healthcare , 2013, Proceedings of the IEEE.

[11]  Chris D. Nugent,et al.  Goal lifecycles and ontological models for intention based assistive living within smart environments , 2015, Comput. Syst. Sci. Eng..

[12]  W. Rogers,et al.  Personalized Technology to Support Older Adults With and Without Cognitive Impairment Living at Home , 2015, American journal of Alzheimer's disease and other dementias.

[13]  Jesse Hoey,et al.  Automated handwashing assistance for persons with dementia using video and a partially observable Markov decision process , 2010, Comput. Vis. Image Underst..

[14]  Jesse Hoey,et al.  Sensor-Based Activity Recognition , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[15]  S. Morrow.  Instrumental Activities of Daily Living Scale , 1999 .

[16]  John R. Josephson,et al.  What Are They? Why Do We Need Them? , 1999 .

[17]  Haoyang Che.  A Semantic Web primer: Book Reviews , 2006 .

[18]  Abdenour Bouzouane,et al.  Smart homes for people with Alzheimer's disease: adapting prompting strategies to the patient's cognitive profile , 2012, PETRA '12.

[19]  Balakrishnan Chandrasekaran,et al.  What are ontologies, and why do we need them? , 1999, IEEE Intell. Syst..

[20]  Eric Campo,et al.  A review of smart homes - Present state and future challenges , 2008, Comput. Methods Programs Biomed..

[21]  Alex Mihailidis,et al.  A Survey on Ambient-Assisted Living Tools for Older Adults , 2013, IEEE Journal of Biomedical and Health Informatics.

[22]  Chris D. Nugent,et al.  NFC based provisioning of instructional videos to assist with instrumental activities of daily living , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.