• Keine Ergebnisse gefunden

[12] CHAPRON, Kévin ; BOUCHARD, Kévin ; GABOURY, Sébastien: Real-time Gait Speed Evaluation at Home. In: Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good, 2019, p. 55–60

[13] CHOSET, Howie ; BURDICK, Joel: Sensor-based exploration: The hierarchical general-ized voronoi graph. In:The International Journal of Robotics Research 19 (2000), Nr. 2, p. 96–125

[14] CLARKSON-SMITH, Louise ; HARTLEY, Alan A.: Relationships between physical exercise and cognitive abilities in older adults. In: Psychology and aging 4 (1989), Nr. 2, p. 183 [15] COOK, Diane J. ; SCHMITTER-EDGECOMBE, Maureen: Assessing the quality of activities

in a smart environment. In:Methods of information in medicine 48 (2009), Nr. 5, p. 480–

485

[16] COURTNEY, Karen L. ; DEMIRIS, George ; RANTZ, Marilyn ; SKUBIC, Marjorie: Needing smart home technologies: the perspectives of older adults in continuing care retirement communities. In:Informatics in primary care 16 (2008), Nr. 3, p. 195

[17] CRANDALL, Aaron S.: Behaviometrics for Multiple Residents in a Smart Environment, Washington State University, Ph.D. thesis, 2011. – 271 p

[18] CRANDALL, Aaron S. ; COOK, Diane J.: Coping with multiple residents in a smart envi-ronment. In: Journal of Ambient Intelligence and Smart Environments 1 (2009), Nr. 4, p. 323–334

[19] CRANDALL, Aaron S. ; COOK, Diane J.: Tracking Systems for Multiple Smart Home Residents. In:Human Behavior Recognition Technologies (2010)

[20] CRANDALL, Aaron S. ; COOK, Diane J. ; GUESGEN, Hans W. (Editor) ; MARSLAND, Stephen (Editor): Human Behavior Recognition Technologies.

IGI Global, mar 2013. – URL http://www.igi-global.com/chapter/

tracking-systems-multiple-smart-home/75288/. – ISBN 9781466636828

[21] CRANDALL, Aaron S. ; COOK, Diane J.: Tracking systems for multiple smart home resi-dents. In: Human behavior recognition technologies: Intelligent applications for monitor-ing and security. IGI Global, 2013, p. 111–129

[22] CULHANE, Karen M. ; O’CONNOR, M ; LYONS, D ; LYONS, GM: Accelerometers in reha-bilitation medicine for older adults. In: Age and ageing 34 (2005), Nr. 6, p. 556–560 [23] DAS, Sajal K. ; COOK, Diane J.: Health monitoring in an agent-based smart home by

activity prediction. In: Proceedings of the International Conference on Smart Homes and Health TelematicsVolume 14, 2004, p. 3–14

[24] DE, Debraj ; SONG, Wen-Zhan ; XU, Mingsen ; WANG, Cheng-Liang ; COOK, Diane ; HUO, Xiaoming: Findinghumo: Real-time tracking of motion trajectories from anonymous

Bibliography binary sensing in smart environments. In: 2012 IEEE 32nd International Conference on Distributed Computing Systems IEEE (event), 2012, p. 163–172

[25] DEMIRIS, George ; HENSEL, Brian K. ; SKUBIC, Marjorie ; RANTZ, Marilyn: Senior residents’ perceived need of and preferences for “smart home” sensor technologies. In:

International journal of technology assessment in health care 24 (2008), Nr. 1, p. 120–

124

[26] DUNN, Joseph C.: A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters. (1973)

[27] ESTER, Martin ; KRIEGEL, Hans-Peter ; SANDER, Jörg ; XU, Xiaowei et al: A density-based algorithm for discovering clusters in large spatial databases with noise. In: Kdd Volume 96, 1996, p. 226–231

[28] EUROPEAN UNION: AHA annual survey database. https://www.aha.org/

taxonomy/term/228. 2016. – Accessed: 2020-02-24

[29] FANG, Jian-Shuen ; HAO, Qi ; BRADY, David J. ; GUENTHER, Bob D. ; HSU, Ken Y.: Real-time human identification using a pyroelectric infrared detector array and hidden Markov models. In:Optics express 14 (2006), Nr. 15, p. 6643–6658

[30] FEDERAL STATISTICAL OFFICE: Germany’s population by 2050. Results of the 11th coordinated population projection. https://www.destatis.de/EN/

Themes/Society-Environment/Population/Population-Projection/

Publications/Downloads-Population-Projection/

germany-population-2050.html. 2008. – Accessed: 2020-02-22

[31] FLOECK, Martin ; LITZ, Lothar: Activity-and inactivity-based approaches to analyze an assisted living environment. In: Emerging Security Information, Systems and Technolo-gies, 2008. SECURWARE’08. Second International Conference on IEEE (event), 2008, p. 311–316

[32] FORTIN-SIMARD, Dany ; BOUCHARD, Kevin ; GABOURY, Sebastien ; BOUCHARD, Bruno ; BOUZOUANE, Abdenour: Accurate passive RFID localization system for smart homes.

In: 2012 IEEE 3rd International Conference on Networked Embedded Systems for Every Application (NESEA) IEEE (event), 2012, p. 1–8

[33] FOX, Dieter ; HIGHTOWER, Jeffrey ; LIAO, Lin ; SCHULZ, Dirk ; BORRIELLO, Gaetano:

Bayesian filtering for location estimation. In: IEEE pervasive computing (2003), Nr. 3, p. 24–33

[34] FRENKEN, Thomas ; STEEN, Enno-Edzard ; BRELL, Melina ; NEBEL, Wolfgang ; HEIN, Andreas: Motion Pattern Generation and Recognition for Mobility Assessments in Do-mestic Environments. In: Proceedings of the 1st Int. Living Usability Lab Workshop on AAL Latest Solutions, 2011, p. 3–12

[35] FRENKEN, Thomas ; VESTER, Björn ; BRELL, Melina ; HEIN, Andreas: aTUG: Fully-automated timed up and go assessment using ambient sensor technologies. In: Per-vasive Computing Technologies for Healthcare (PerPer-vasiveHealth), 2011 5th International Conference on IEEE (event), 2011, p. 55–62

[36] GALASKO, Douglas ; BENNETT, David ; SANO, Mary ; ERNESTO, Chris ; THOMAS, Ronald ; GRUNDMAN, Michael ; FERRIS, Steven: An inventory to assess activities of daily living for clinical trials in Alzheimer’s disease. In: Alzheimer disease and associated disorders (1997)

[37] GERDES, Verena ; SIMON, Steffen ; PAULS, Alexander ; ROLFES, H ; SCHEVE, Christine:

Unterstützung der Selbstbestimmung am Lebensende: Empowerment für Patienten in der spezialisierten ambulanten Palliativversorgung (SAPV)–das BMBF-Projekt ¨Cicely¨. In:

Zeitschrift für Palliativmedizin 15 (2014), Nr. 03

[38] GIETZELT, Matthias ; WOLF, Klaus-Hendrik ; MARSCHOLLEK, Michael ; SONG, Biany-ing ; HAUX, Reinhold: Rekonstruktion der Topologie einer Wohnung mit Hilfe eines Installationsbus-Systems. In: Informatik 2009–Im Focus das Leben, Gesellschaft für In-formatik e. V., 2009, p. 940–945

[39] HALL, Mark ; FRANK, Eibe ; HOLMES, Geoffrey ; PFAHRINGER, Bernhard ; REUTEMANN, Peter ; WITTEN, Ian H.: The WEKA data mining software: an update. In: ACM SIGKDD explorations newsletter 11 (2009), Nr. 1, p. 10–18

[40] HARLE, Robert K. ; HOPPER, Andy: The potential for location-aware power management.

In: Proceedings of the 10th international conference on Ubiquitous computing ACM (event), 2008, p. 302–311

[41] HAYES, Tamara L. ; ABENDROTH, Francena ; ADAMI, Andre ; PAVEL, Misha ; ZITZEL

-BERGER, Tracy A. ; KAYE, Jeffrey A.: Unobtrusive assessment of activity patterns as-sociated with mild cognitive impairment. In: Alzheimer’s & Dementia 4 (2008), Nr. 6, p. 395–405

[42] HIGHTOWER, Jeffrey ; BORRIELLO, Gaetano: Location systems for ubiquitous computing.

In: Computer 34 (2001), Nr. 8, p. 57–66

[43] HOSSAIN, HM S. ; AL HAIZ KHAN, MD A. ; ROY, Nirmalya: DeActive: scaling activity recognition with active deep learning. In:Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2 (2018), Nr. 2, p. 1–23

[44] KITBUTRAWAT, Nathavuth ; YAMAGUCHI, Hirozumi ; HIGASHINO, Teruo: Easytrack: Zero-calibration smart-home tracking system. In:Journal of Information Processing27 (2019), p. 445–455

[45] KNUTH, Donald E.: The art of computer programming. Volume 3. Pearson Education, 1997

Bibliography [46] KÖNIG, Alexandra ; CRISPIM JUNIOR, Carlos F. ; DERREUMAUX, Alexandre ; BEN

-SADOUN, Gregory ; PETIT, Pierre-David ; BREMOND, François ; DAVID, Renaud ; VER

-HEY, Frans ; AALTEN, Pauline ; ROBERT, Philippe: Validation of an automatic video monitoring system for the detection of instrumental activities of daily living in dementia patients. In: Journal of Alzheimer’s Disease 44 (2015), Nr. 2, p. 675–685

[47] KRÖGER, Tobias ; BRELL, Melina ; MÜLLER, Frerk ; LIPPRANDT, Myriam ; HELMER, Axel ; HEIN, Andreas: IDEAAL-Der Mensch im Mittelpunkt. In: Proceedings of Deutscher AAL KongressVolume 4, 2011

[48] LAWTON, Mortimer P. ; BRODY, Elaine M.: Assessment of older people: self-maintaining and instrumental activities of daily living. In: The gerontologist 9 (1969), Nr. 3_Part_1, p. 179–186

[49] LEVENSHTEIN, Vladimir I.: Binary codes capable of correcting deletions, insertions, and reversals. In: Soviet physics doklady Volume 10, 1966, p. 707–710

[50] LIAO, Lin ; FOX, Dieter ; HIGHTOWER, Jeffrey ; KAUTZ, Henry ; SCHULZ, Dirk: Voronoi tracking: Location estimation using sparse and noisy sensor data. In: Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003)(Cat.

No. 03CH37453)Volume 1 IEEE (event), 2003, p. 723–728

[51] LOGAN, Beth ; HEALEY, Jennifer ; PHILIPOSE, Matthai ; TAPIA, Emmanuel M. ; INTILLE, Stephen: A long-term evaluation of sensing modalities for activity recognition. In: Ubi-Comp 2007: Ubiquitous Ubi-Computing. Springer, 2007, p. 483–500

[52] LOTFI, Ahmad ; LANGENSIEPEN, Caroline ; MAHMOUD, Sawsan M. ; AKHLAGHINIA, M. J.:

Smart homes for the elderly dementia sufferers: identification and prediction of abnormal behaviour. In: Journal of ambient intelligence and humanized computing 3 (2012). – URLhttp://link.springer.com/article/10.1007/s12652-010-0043-x [53] LU, Jiakang ; SOOKOOR, Tamim ; SRINIVASAN, Vijay ; GAO, Ge ; HOLBEN, Brian ;

STANKOVIC, John ; FIELD, Eric ; WHITEHOUSE, Kamin: The smart thermostat: using occupancy sensors to save energy in homes. In: Proceedings of the 8th ACM confer-ence on embedded networked sensor systems ACM (event), 2010, p. 211–224

[54] MACQUEEN, James: Some methods for classification and analysis of multivariate obser-vations. In: Proceedings of the fifth Berkeley symposium on mathematical statistics and probability Volume 1, 1967, p. 281–297

[55] MAENNER, Matthew J. ; SMITH, Leann E. ; HONG, Jinkuk ; MAKUCH, Renee ; GREEN

-BERG, Jan S. ; MAILICK, Marsha R.: Evaluation of an activities of daily living scale for adolescents and adults with developmental disabilities. In: Disability and Health Journal 6 (2013), Nr. 1, p. 8–17

[56] MAHONEY, Florence I. ; BARTHEL, Dorothea W.: Functional evaluation: the Barthel Index:

a simple index of independence useful in scoring improvement in the rehabilitation of the chronically ill. In:Maryland state medical journal (1965)

[57] MARINAKIS, Dimitri ; DUDEK, Gregory: Sensor Network Topology Inference. In: Neural Information Processing Systems Workshop: Intelligence Beyond the Desktop (Whistler, Canada), 2005

[58] MARINAKIS, Dimitri ; DUDEK, Gregory ; FLEET, David J.: Learning sensor network topol-ogy through monte carlo expectation maximization. In: Robotics and Automation, 2005.

ICRA 2005. Proceedings of the 2005 IEEE International Conference on IEEE (event), 2005, p. 4581–4587

[59] MARSCHOLLEK, Michael ; BECKER, Marcus ; BAUER, Jürgen M ; BENTE, Petra ; DASEN

-BROCK, Lena ; ELBERS, Katharina ; HEIN, Andreas ; KOLB, Gerald ; KÜNEMUND, Harald ; LAMMEL-POLCHAU, Christopher et al: Multimodal activity monitoring for home rehabili-tation of geriatric fracture patients–feasibility and acceptance of sensor systems in the GAL-NATARS study. In: Informatics for Health and Social Care 39 (2014), Nr. 3-4, p. 262–271

[60] MICHAIL, Dimitrios ; KINABLE, Joris ; NAVEH, Barak ; SICHI, John V.: JGraphT - A Java library for graph data structures and algorithms. In: CoRR abs/1904.08355 (2019). – URLhttp://arxiv.org/abs/1904.08355

[61] MOKHTARI, Ghassem ; ZHANG, Qing ; NOURBAKHSH, Ghavameddin ; BALL, Stephen ; KARUNANITHI, Mohanraj: BLUESOUND: A new resident identification sensor—Using ultrasound array and BLE technology for smart home platform. In:IEEE Sensors Journal 17 (2017), Nr. 5, p. 1503–1512

[62] MORRIS, Meg E. ; ADAIR, Brooke ; MILLER, Kimberly ; OZANNE, Elizabeth ; HANSEN, Ralph ; PEARCE, Alan J. ; SANTAMARIA, Nick ; VIEGA, Luan ; LONG, Maureen ; SAID, Catherine M.: Smart-home technologies to assist older people to live well at home. In:

Journal of aging science 1 (2013), Nr. 1, p. 1–9

[63] NAVARRO, Gonzalo: A guided tour to approximate string matching. In: ACM computing surveys (CSUR) 33 (2001), Nr. 1, p. 31–88

[64] NGUYEN, Nam ; VENKATESH, Svetha ; BUI, Hung: Recognising behaviours of multiple people with hierarchical probabilistic model and statistical data association. In: BMVC 2006: Proceedings of the 17th British Machine Vision ConferenceBritish Machine Vision Association (event), 2006, p. 1239–1248

[65] OGAWA, Mitsushiro ; SUZUKI, Ryoji ; OTAKE, Sakuko ; IZUTSU, Takeshi ; IWAYA, Tsu-tomu ; TOGAWA, Tatsuo: Long-term remote behavioral monitoring of the elderly using sensors installed in domestic houses. In: Engineering in Medicine and Biology, 2002.

Bibliography 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering So-ciety EMBS/BMES Conference, 2002. Proceedings of the Second Joint Volume 3 IEEE (event), 2002, p. 1853–1854

[66] OH, Songhwai ; SASTRY, Shankar: Tracking on a graph. In:Proceedings of the 4th inter-national symposium on Information processing in sensor networks IEEE Press (event), 2005, p. 26

[67] PERRY, James T. ; KELLOG, Scott ; VAIDYA, Sundar M. ; YOUN, Jong-Hoon ; ALI, He-sham ; SHARIF, Hamid: Survey and evaluation of real-time fall detection approaches.

In: 2009 6th International Symposium on High Capacity Optical Networks and Enabling Technologies (HONET) IEEE (event), 2009, p. 158–164

[68] PODSIADLO, D. ; RICHARDSON, S.: The timed Up & Go: a test of basic functional mobility for frail elderly persons. In: Journal of the American geriatrics Society 39 (1991), Nr. 2, p. 142–148

[69] QUINLAN, John R.: Induction of decision trees. In: Machine learning 1 (1986), Nr. 1, p. 81–106

[70] QUINLAN, John R.: C4. 5: programs for machine learning. Elsevier, 2014

[71] REID, Donald B.: An algorithm for tracking multiple targets. In: Automatic Control, IEEE Transactions on 24 (1979), Nr. 6, p. 843–854

[72] ROTHGANG, Heinz ; MÜLLER, Rolf ; UNGER, Rainer ; KLIE, Thomas ; GÖHNER, Anne ; SCHUMACHER, Birgit: Themenreport ¨Pflege 2030¨--Was ist zu erwarten, was ist zu tun. https://www.bertelsmann-stiftung.de/fileadmin/files/BSt/

Publikationen/GrauePublikationen/GP_Themenreport_Pflege_2030.pdf.

2012. – "Accessed: 2020-02-22"

[73] RUIZ, Carlos ; SPILIOPOULOU, Myra ; MENASALVAS, Ernestina: C-dbscan: Density-based clustering with constraints. In: International workshop on rough sets, fuzzy sets, data mining, and granular-soft computing Springer (event), 2007, p. 216–223

[74] SAVVIDES, Andreas ; SRIVASTAVA, Mani ; GIROD, Lewis ; ESTRIN, Deborah: Localization in sensor networks. In: Wireless sensor networks. Springer, 2004, p. 327–349

[75] SCHULZ, Dirk ; FOX, Dieter ; HIGHTOWER, Jeffrey: People tracking with anonymous and id-sensors using rao-blackwellised particle filters. In:Proc. of the International Joint Conference on Artificial Intelligence, 2003, p. 921–928

[76] SHIN, Jae H. ; LEE, Boreom ; PARK, Kwang S.: Detection of abnormal living patterns for elderly living alone using support vector data description. In: Information Technology in Biomedicine, IEEE Transactions on 15 (2011), Nr. 3, p. 438–448

[77] SHRIVASTAVA, Nisheeth ; MADHOW, Upamanyu ; SURI, Subhash: Target tracking with binary proximity sensors: fundamental limits, minimal descriptions, and algorithms. In:

Proceedings of the 4th international conference on Embedded networked sensor sys-tems ACM (event), 2006, p. 251–264

[78] SINGH, Jaspreet ; MADHOW, Upamanyu ; KUMAR, Rajesh ; SURI, Subhash ; CAGLEY, Richard: Tracking multiple targets using binary proximity sensors. In: Proceedings of the 6th international conference on Information processing in sensor networks ACM (event), 2007, p. 529–538

[79] SKUBIC, Marjorie ; GUEVARA, Rainer D. ; RANTZ, Marilyn: Testing classifiers for embed-ded health assessment. In:Impact Analysis of Solutions for Chronic Disease Prevention and Management. Springer, 2012, p. 198–205

[80] SPASOVA, Velislava ; ILIEV, Ivo: A survey on automatic fall detection in the context of ambient assisted living systems. In:International journal of advanced computer research 4 (2014), Nr. 1, p. 94

[81] STEEN, Enno-Edzard ; FRENKEN, Thomas ; EICHELBERG, Marco ; FRENKEN, Melina ; HEIN, Andreas: Modeling individual healthy behavior using home automation sensor data: Results from a field trial. In: Journal of Ambient Intelligence and Smart Environ-ments 5 (2013), Nr. 5, p. 503–523

[82] STEEN, Enno-Edzard ; FRENKEN, Thomas ; FRENKEN, Melina ; HEIN, Andreas: Func-tional Assessment in Elderlies’ Homes: Early Results from a Field Trial. In: Ambient Assisted Living. Springer, 2014, p. 3–17

[83] SULLIVAN, Josephine ; CARLSSON, Stefan: Tracking and labelling of interacting multiple targets. In:European conference on computer vision Springer (event), 2006, p. 619–632 [84] SULLIVAN, Josephine ; NILLIUS, Peter ; CARLSSON, Stefan: Multi-target tracking on a large scale: Experiences from football player tracking. In:Proceedings of the IEEE ICRA 2009 workshop on people detection and tracking Citeseer (event), 2009

[85] TAPIA, Emmanuel M. ; INTILLE, Stephen S. ; LARSON, Kent: Activity recognition in the home using simple and ubiquitous sensors. In: International conference on pervasive computing Springer (event), 2004, p. 158–175

[86] TEIXEIRA, THIAGO ; DUBLON, GERSHON ; SAVVIDES, ANDREAS: A survey of human-sensing: Methods for detecting presence, count, location, track, and identity. In: ACM Computing Surveys 5 (2010)

[87] UNITED NATIONS, DEPARTMENT OF ECONOMIC AND SOCIAL AFFAIRS, POP

-ULATION DIVISION: World Population Ageing 2019: Highlights. https:

//www.un.org/en/development/desa/population/publications/pdf/

Bibliography ageing/WorldPopulationAgeing2019-Highlights.pdf. 2019. – Accessed:

2020-02-22

[88] US CENSUS BUREAU: Historical Households Tables. https://www.census.gov/

data/tables/time-series/demo/families/households.html. 2019. – Ac-cessed: 2020-02-20

[89] U.S. ENERGY INFORMATION ADMINISTRATION: Residential Energy Consumption Sur-vey. https://www.eia.gov/consumption/residential/data/2015/index.

php?view=consumption. 2015. – Accessed: 2020-02-22

[90] VAUPEL, James W. ; LUNDSTROM, Hans: The future of mortality at older ages in de-veloped countries. In: The future population of the world: What can we assume today (1994), p. 295–315

[91] VIRONE, Gilles ; NOURY, Norbert ; DEMONGEOT, Jacques: A system for automatic measurement of circadian activity deviations in telemedicine. In: IEEE Transactions on Biomedical Engineering 49 (2002), Nr. 12, p. 1463–1469

[92] WAGSTAFF, Kiri ; CARDIE, Claire ; ROGERS, Seth ; SCHRÖDL, Stefan: Constrained K-means Clustering with Background Knowledge. In: ICML, 2001, p. 577–584

[93] WANG, Tinghui ; COOK, Diane: sMRT: Multi-Resident Tracking in Smart Homes with Sen-sor Vectorization. In: IEEE Transactions on Pattern Analysis and Machine Intelligence PP (2020), 02, p. 1–1

[94] WANG, Yan ; CANG, Shuang ; YU, Hongnian: A data fusion-based hybrid sensory system for older people’s daily activity and daily routine recognition. In: IEEE Sensors Journal 18 (2018), Nr. 16, p. 6874–6888

[95] WILLIAMS, Brie ; CHANG, Anna ; LANDEFELD, C S. ; AHALT, Cyrus ; CONANT, Rebecca ; CHEN, Helen: Current diagnosis and treatment: geriatrics 2E. McGraw Hill Professional, 2014

[96] WILSON, Daniel H.: Assistive Intelligent Environments for Automatic Health Monitoring, Carnegie Mellon University, Ph.D. thesis, 2006

[97] WILSON, Daniel H. ; ATKESON, Chris: Simultaneous tracking and activity recognition (STAR) using many anonymous, binary sensors. In: Pervasive computing. Springer, 2005, p. 62–79

[98] YUN, Jaeseok ; LEE, Sang-Shin: Human movement detection and identification using pyroelectric infrared sensors. In:Sensors 14 (2014), Nr. 5, p. 8057–8081

[99] ZENG, Yunze ; PATHAK, Parth H. ; MOHAPATRA, Prasant: WiWho: wifi-based person identification in smart spaces. In: Proceedings of the 15th International Conference on Information Processing in Sensor Networks IEEE Press (event), 2016, p. 4

[100] ZUO, Fei ; WITH, PHN de: Real-time embedded face recognition for smart home. In:

IEEE transactions on consumer Electronics 51 (2005), Nr. 1, p. 183–190