Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Advances in Physiological ComputingCapturing Human Digital Memories for Assisting Memory Recall

Advances in Physiological Computing: Capturing Human Digital Memories for Assisting Memory Recall [As the life expectancy of adults is increasing, so is the occurrence of illness, disability and the demand on hospitals. The probability of becoming cognitively impaired increases with age, with one side effect of increasing life expectancy being the emerging number of dementia patients. In order to enable people to live more independently the use of digital technologies, as an artificial memory aid, is gaining momentum. The area of Human Digital Memories (HDMs) provides such an outlet where users can interact with their data, with the use of visual lifelogs, which can help sufferers relive life experiences. Computing devices are, nowadays, capable of storing a lifetime’s worth of data and capturing our every move, interactions and physiological signals. As a result of living in such a data-rich society, a greater number of data sources are available, which can be incorporated into building more vivid HDMs. This chapter explores the area of human digital memories. More specifically, focusing on wearable systems and physiological devices, the methods that are used to capture human digital memory data are presented. Once it has been established how data can be collected, a more in-depth look at how digital memories are created is also explored. The chapter is then concluded with a summary of the key challenges of the area.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Advances in Physiological ComputingCapturing Human Digital Memories for Assisting Memory Recall

Part of the Human–Computer Interaction Series Book Series
Editors: Fairclough, Stephen H.; Gilleade, Kiel
Dobbins, Chelsea; Merabti, Madjid; Fergus, Paul; Llewellyn-Jones, David
Advances in Physiological Computing — Mar 27, 2014
Download PDF
23 pages

Loading next page...
 
/lp/springer-journals/advances-in-physiological-computing-capturing-human-digital-memories-5MTzSyLN8Y

References (109)

Publisher
Springer London
Copyright
© Springer-Verlag London 2014
ISBN
978-1-4471-6391-6
Pages
211 –234
DOI
10.1007/978-1-4471-6392-3_10
Publisher site
See Chapter on Publisher Site

Abstract

[As the life expectancy of adults is increasing, so is the occurrence of illness, disability and the demand on hospitals. The probability of becoming cognitively impaired increases with age, with one side effect of increasing life expectancy being the emerging number of dementia patients. In order to enable people to live more independently the use of digital technologies, as an artificial memory aid, is gaining momentum. The area of Human Digital Memories (HDMs) provides such an outlet where users can interact with their data, with the use of visual lifelogs, which can help sufferers relive life experiences. Computing devices are, nowadays, capable of storing a lifetime’s worth of data and capturing our every move, interactions and physiological signals. As a result of living in such a data-rich society, a greater number of data sources are available, which can be incorporated into building more vivid HDMs. This chapter explores the area of human digital memories. More specifically, focusing on wearable systems and physiological devices, the methods that are used to capture human digital memory data are presented. Once it has been established how data can be collected, a more in-depth look at how digital memories are created is also explored. The chapter is then concluded with a summary of the key challenges of the area.]

Published: Mar 27, 2014

Keywords: Resource Description Framework; Physiological Data; Ambient Assistive Living; Wearable System; Digital Memory

There are no references for this article.