A novel human autonomy assessment system

Sensors (Switzerland)

Volumn 12, Issue 6, 2012, Pages 7828-7854

  Munstermann, Marco ^a   Stevens, Torsten ^a   Luther, Wolfram ^b  

^a FRAUNHOFER INSTITUTE FOR MICROELECTRONIC CIRCUITS AND SYSTEMS   (Germany)

^b UNIVERSITY OF DUISBURG ESSEN   (Germany)

Author keywords

Activities of daily living; Activity recognition; Concur task trees; Context awareness; Data mining; Petri nets; Probabilistic models; Task models; Transition system miner

Indexed keywords

ARTICLE; BEHAVIOR; CAREGIVER; COMPUTER LANGUAGE; COMPUTER SIMULATION; DAILY LIFE ACTIVITY; HUMAN; METHODOLOGY; PERSONAL AUTONOMY; REMOTE SENSING;

ACTIVITIES OF DAILY LIVING; BEHAVIOR; CAREGIVERS; COMPUTER SIMULATION; HUMANS; PERSONAL AUTONOMY; PROGRAMMING LANGUAGES; REMOTE SENSING TECHNOLOGY;

EID: 84863224767     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s120607828     Document Type: Article

References (51)

1. Carone, G.; Costello, D. Can Europe afford to grow old? Fund Financ. Dev. Mag. 2006, 43. Available online: www.imf.org/external/pubs/ft/fandd/2006/09/carone.htm (accessed on 18 April 2012).
2. García-Vázquez, J.P.; Rodríguez, M.D.; Andrade, A.G.; Bravo, J. Supporting the strategies to improve elders' medication compliance by providing ambient aids. Pers. Ubiquitous Comput. 2011, 15, 389-397.
3. Choudhury, T.; Philipose, M.; Wyatt, D.; Lester, J. Towards activity databases: Using sensors and statistical models to summarize people's lives. IEEE Data Eng. Bull. 2006, 29, 49-58.
4. Chandola, V.; Banerjee, A.; Kumar, V. Anomaly detection: A survey. ACM Comput. Surv. 2009, 41, 15:1-15:58.
5. Hong, X.; Nugent, C.; Mulvenna, M.; McClean, S.; Scotney, B.; Devlin, S. Evidential fusion of sensor data for activity recognition in smart homes. Pervasive Mobile Comput. 2009, 5, 236-252.
6. Fouquet, Y.; Franco, C.; Demongeot, J.; Villemazet, C.; Vuillerme, N. Smart Home Systems; InTech Europe: Rijeka, Croatia, 2010; Chapter 7.
7. Katz, S.; Ford, A.B.; Moskowitz, R.W.; Jackson, B.A.; Jaffe, M.W. Studies of illness in the aged. J. Am. Med. Assoc. 1963, 185, 914-919.
8. Lawton, M.P. Environment and other determinants of well-being in older people. Gerontologist 1983, 23, 349-357.
9. Dey, A.K.; Abowd, G.D. Towards a Better Understanding of Context and Context-Awareness. In Proceedings of HUC '99: the 1st International Symposium on Handheld and Ubiquitous Computing; Karlsruhe, Germany, 27-29 September 1999; pp. 304-307.
10. Bamis, A.; Lymberopoulos, D.; Teixeira, T.; Savvides, A. The behaviorscope framework for enabling ambient assisted living. Pers. Ubiquitous Comput. 2010, 14, 473-487.
11. Kart, C.; Kinney, J.; Murdoch, L.; Ziemba, T. Crossing the Digital Divide: Family Caregivers' Acceptance of Technology; Technical Report; Scripps Gerontology Center at Miami University: Oxford, OH, USA, 2002. Available online: sc. lib. muohio. edu/handle/2374. MIA/12 (accessed on 18 April 2012).
12. Bao, L.; Intille, S.S. Activity Recognition from User-Annotated Acceleration Data. In Proceedings of the 2nd International Conference on Pervasive Computing; Vienna, Austria, 21-23 April 2004; pp. 1-17.
13. Wyatt, D.; Philipose, M.; Choudhury, T. Unsupervised Activity Recognition Using Automatically Mined Common Sense. In Proceedings of the 20th National Conference on Artificial Intelligence, Pittsburgh, PA, USA, 9-13 July 2005; pp. 21-27.
14. Wilson, D.H. Assistive Intelligent Environments for Automatic Health Monitoring. Ph.D. Thesis, Carnegie Mellon University, Pittsburgh, PA, USA, 2005.
15. Tapia, E.M.; Intille, S.S.; Larson, K. Activity Recognition in the Home Setting Using Simple and Ubiquitous Sensors. In Proceedings of the 2nd International Conference on Pervasive Computing, Vienna, Austria, 21-23 April 2004; pp. 158-175.
16. Kim, E.; Helal, S.; Cook, D. Human activity recognition and pattern discovery. IEEE Pervasive Comput. 2010, 9, 48-53.
17. Rashidi, P.; Cook, D.; Holder, L.; Schmitter-Edgecombe, M. Discovering activities to recognize and track in a smart environment. IEEE Trans. Knowl. Data Eng. 2011, 23, 527-539.
18. Cook, D. Health monitoring and assistance to support aging in place. J. Univ. Comput. Sci. 2006, 12, 15-29. Available online: www.jucs.org/jucs 12 1/health monitoring and assistance (accessed on 18 April 2012).
19. Aztiria, A.; Augusto, J.; Izaguirre, A.; Cook, D. Learning Accurate Temporal Relations from User Actions in Intelligent Environments. In Proceedings of the 3rd Symposium of Ubiquitous Computing and Ambient Intelligence 2008, Salamanca, Spain, 22-24 October 2008; pp.274-283.
20. Cai, Y. Mobile intelligence. J. Univ. Comput. Sci. 2010, 16, 1650-1665. Available online: www.jucs.org/jucs 16 12/mobile intelligence (accessed on 18 April 2012).
21. Martnez-Prez, F.E.; Gonzlez-Fraga, J.; Cuevas-Tello, J.C.; Rodrguez, M.D. Activity inference for ambient intelligence through handling artifacts in a healthcare environment. Sensors 2012, 12, 1072-1099.
22. Le, X.H.B.; di Mascolo, M.; Gouin, A.; Noury, N. Health Smart Home: Towards an Assistant Tool for Automatic Assessment of the Dependence of Elders. In Proceedings of IEEE 29th Annual International Conference, Lyon, France, 23-26 August 2007; pp. 3806-3809.
23. Project PROSAFE. Available online: www.laas.fr/PROSAFE (accessed on 18 April 2012).
24. Noury, N. AILISA: Experimental Platforms to Evaluate Remote Care and Assistive Technologies in Gerontology. In Proceedings of the 7th International Workshop on Enterprise Networking and Computing in Healthcare Industry (HEALTHCOM 2005), Busan, Korea, 23-25 June 2005; pp. 67-72.
25. QuietCare System. Available online: www.careinnovations.com/products/quietcare-assistedliving-technology (accessed on 18 April 2012).
26. BeClose System. Available online: www.beclose.com (accessed on 18 April 2012).
27. Benghazi, K.; Hurtado, M.V.; Hornos, M.J.; Rodriguez, M.L.; Rodriguez, C.; Pelegrina, A.B.; Rodriguez, M.J. Enabling correct design and formal analysis of ambient assisted living systems. J. Syst. Softw. 2011, 85, 498-510.
28. AAL Competence (German). Available online: www.aal-kompetenz.de (accessed on 18 April 2012).
29. Coronato, A. Uranus: A middleware architecture for dependable AAL and vital signs monitoring applications. Sensors 2012, 12, 3145-3161.
30. Hofman, M.A.; Swaab, D.F. Living by the clock: The circadian pacemaker in older people. Ageing Res. Rev. 2006, 5, 33-51.
31. Paterno, F. Model-Based Design and Evaluation of Interactive Applications, 1st ed.; Springer-Verlag: London, UK, 1999.
32. Baule, D. Modellierung sicherheitskritischer Systeme durch Kopplung von Aufgabenmodellierung und dem Unfallanalyseverfahren STAMP. B.S. Thesis, Faculty of Electrical Engineering, Computer Science and Mathematics, University of Paderborn, Paderborn, Germany, 2006.
33. Concur Task Trees (CTT) @ W3C. Available online: www.w3.org/2012/02/ctt (accessed on 18 April 2012).
34. Multimodal TERESA. Available online: giove. isti. cnr. it/tools/TERESA/home (accessed on 18 April 2012).
35. Weyers, B.; Luther, W.; Baloian, N. Interface creation and redesign techniques in collaborative learning scenarios. Future Gener. Comput. Syst. 2011, 27, 127-138.
36. Desel, J.; Reisig, W. The synthesis problem of Petri nets. Acta Inf. 1996, 33, 297-315, doi:10.1007/s002360050046.
37. TAPAAL. Available online: www.tapaal.net (accessed on 18 April 2012).
38. Byg, J.; Jørgensen, K.Y.; Srba, J. TAPAAL: Editor, Simulator and Verifier of Timed-Arc Petri Nets. In Proceedings of the 7th International Symposium on Automated Technology for Verification and Analysis, Macao, China, 14-16 October 2009; pp. 84-89.
39. Blanke, U.; Schiele, B. Daily Routine Recognition through Activity Spotting. In Location and Context Awareness; Choudhury, T., Quigley, A., Strang, T., Suginuma, K., Eds.; Springer: Berlin/Heidelberg, Germany, 2009; Volume 5561, pp. 192-206.
40. Helaoui, R.; Niepert, M.; Stuckenschmidt, H. Recognizing Interleaved and Concurrent Activities: A Statistical-Relational Approach. In Proceedings of the IEEE International Conference on Pervasive Computing and Communications (PerCom), Seattle, WA, USA, 21-25 March 2011; pp. 1-9.
41. Van Dongen, B.F.; van der Aalst, W.M.P. A Meta Model for Process Mining Data. In Proceedings of the CAiSE Workshops, Porto, Portugal, 13-17 June 2005; pp. 309-320.
42. MXML. Available online: www.promtools.org/promimport (accessed on 18 April 2012).
43. Van der Aalst, W.; Rubin, V.; Verbeek, H.; van Dongen, B.; Kindler, E.; G̈unther, C. Process mining: A two-step approach to balance between underfitting and overfitting. Softw. Syst. Model. 2010, 9, 87-111, doi:10.1007/s10270-008-0106-z.
44. Van der Aalst, W.; de Medeiros, A. Process mining and security: Detecting anomalous process executions and checking process conformance. Electron. Notes Theor. Comput. Sci. 2005, 121, 3-21.
45. SHARP GP2D150A Data Sheet. Available online: www.sharpsma.com/webfm send/1206 (accessed on 18 April 2012).
46. Cypress CY3280-20x34 Data Sheet. Available online: www.cypress.com/?docID=27696 (accessed on 18 April 2012).
47. Advantech Data Acquisition Module ADAM-6052 Data Sheet. Available online: support. advantech. com. tw/support/DownloadDatasheet. aspx?Literature ID=fe1ccf73-4d7a-485cb868-a07975a6c85b&utm source=support. advantech. com. tw&utm medium=Download&utm campaign=ADAM-6052 DS20110819104541 (accessed on 18 April 2012).
48. EnOcean Wireless Standard. Available online: www.enocean-alliance.org/en/enocean standard (accessed on 18 April 2012).
49. Burattin, A.; Sperduti, A. PLG: A Framework for the Generation of Business Process Models and Their Execution Logs. In Proceedings of the 8th International Conference on Business Process Management, Hoboken, NJ, USA, 13-16 September 2010.
50. Hollnagel, E. Cognitive Reliability and Error Analysis Method: CREAM; Elsevier: Amsterdam, The Netherlands, 1998.
51. Munstermann, M. Platform for Context Generation and Behavior Discovery Using Ambient Sensors. Ph.D. Thesis, University of Duisburg-Essen, Duisburg, Germany, 2012; in preparation.