Sensors to detect the activities of daily living

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2006, Pages 5362-5365

  Logan, Beth ^a   Healey, Jennifer ^a  

^a INTEL CORPORATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMEDICAL ENGINEERING; CLASSIFICATION (OF INFORMATION); DATA REDUCTION;

'INTENSE ACTIVITY' DATASET; ACTIVITIES OF DAILY LIVING (ADL); MIT PLACELAB PROJECT;

SENSORS;

AGED; AMBULATORY MONITORING; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER; COMPUTER PROGRAM; COMPUTER SIMULATION; DAILY LIFE ACTIVITY; EQUIPMENT; EQUIPMENT DESIGN; GERIATRIC ASSESSMENT; HOME FOR THE AGED; HUMAN; LIFE; METHODOLOGY; QUALITY OF LIFE; RADIOFREQUENCY RADIATION; REPRODUCIBILITY;

ACTIVITIES OF DAILY LIVING; AGED; COMPUTER SIMULATION; COMPUTERS; EQUIPMENT DESIGN; GERIATRIC ASSESSMENT; HOUSING FOR THE ELDERLY; HUMANS; LIFE; MONITORING, AMBULATORY; PATTERN RECOGNITION, AUTOMATED; QUALITY OF LIFE; RADIO WAVES; REPRODUCIBILITY OF RESULTS; SOFTWARE;

EID: 34047162378     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2006.260649     Document Type: Conference Paper

References (14)

1. Zojirushi corporation. [Online]. Available: www.mimamori.net
2. Quiet care systems. [Online], Available: www.quietcaresystems.com
3. Alert one. [Online]. Available: www.alert-1.com
4. E. Tapia, S. Intille, and K. Larson, "Activity recognition in the home using simple and ubiquitous sensors," in PERVASIVE 2004, 2004.
5. S. Dalal, M. Alwan, R. Seifrafi, S. Kell, and D. Brown, "A rule-based approach to the analysis of elders' activity data: detection of health and possible emergency conditions," 2005.
6. D. Patterson, D. Fox, H. Kautz, and M. Philipose, "Fine-grained activity recognition by aggregating abstract object usage," in ISWC'05, 2005.
7. S. S. Intille, K. Larson, J. S. Beaudin, J. Nawyn, E. M. Tapia, and P. Kaushik, "A living laboratory for the design and evaluation of ubiquitous computing technologies," in 2005 Conference on Human Factors in Computing Systems, New York, NY, 2004.
8. S. Katz, A. B. Ford, R. W. Moskowitz, B. A. Jackson, and M. W. Jaffe, "Studies of illness in the aged: The index of adl: A standardized measure of biological and psychosocial function," Journal of the American Medical Association, vol. 185, no. 12, pp. 914-919, 1963.
9. Placelab "intense activity" test dataset. [Online]. Available: http://architecture.mit.edu/house_n/data/PlaceLab/PlaceLab.htm
10. L. Bao and S. S. Intille, "Activity recognition from user-annotated acceleration data," in PERVASIVE 2004, 2004.
11. K. Tieu and P. Viola, "Boosting image retrieval," in International conference on computer vision, 2000.
12. Y. Freund and R. E. Shapire, "A decision-theoretic generalization of on-line learning and an application to boosting," in Computational Learning Theory: Eurocolt '95, 1995.
13. I. H. Witten and E. Frank, Data Mining: Practical machine learning tools and techniques. San Francisco: Morgan Kaufmann, 2005.
14. E. Dishman, "Inventing wellness systems for aging in place," IEEE Computer, 2004.