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Wellness assistant: a virtual wellness assistant using pervasive computing
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Proceedings of the 2007 ACM symposium on Applied computing table of contents
Seoul, Korea
SESSION: Handheld computing table of contents
Pages: 782 - 787  
Year of Publication: 2007
ISBN:1-59593-480-4
Authors
Sheikh I. Ahamed  Marquette University, Milwaukee, Wisconsin
Munirul M. Haque  Marquette University, Milwaukee, Wisconsin
Karl Stamm  Marquette University, Milwaukee, Wisconsin
Ahmed J Khan  Medical College of Wisconsin, Milwaukee, Wisconsin
Sponsor
SIGAPP: ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

The number of people over age 65 will almost double by 2030 and as they age, they generally prefer to remain in their home or go to a nursing home. There are a variety of reasons for their decision, such as convenience or a need for security or privacy. So, it is time to break through the physical boundaries of hospitals, and bring the hospital information to the homes of the elderly rather than bringing elderly folks to the hospital. Despite growing requests by people to be able to take a more active part in managing their own health, wireless or internet-based healthcare devices have not been accepted for use in this area. This is probably due to the reluctance of this age group to make use of new technology, as well as the lack of reliable, individualized, or user friendly interfaces. In this paper, we discuss the challenges of developing Wellness Assistant (WA), software which is looking to solve some of these problems. The Assistant will use pervasive computing technologies because of the availability of inexpensive handheld devices such as PDAs, cell phones, and wrist watches with short range wireless capabilities. The WA can also be used by people with obesity, diabetes, or high blood pressure, conditions which need constant monitoring.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Collaborative Colleagues:
Sheikh I. Ahamed: colleagues
Munirul M. Haque: colleagues
Karl Stamm: colleagues
Ahmed J Khan: colleagues