Data Analytics for Pervasive Health
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Athanasios V. Vasilakos | Diane J. Cook | Parisa Rashidi | Giovanni Acampora | D. Cook | A. Vasilakos | Parisa Rashidi | G. Acampora
[1] John W. Tukey,et al. Exploratory data analysis , 1977, Addison-Wesley series in behavioral science : quantitative methods.
[2] Athanasios V. Vasilakos,et al. A Survey on Ambient Intelligence in Healthcare , 2013, Proceedings of the IEEE.
[3] Diane J. Cook,et al. Transfer learning for activity recognition: a survey , 2013, Knowledge and Information Systems.
[4] Carol Friedman,et al. Combing signals from spontaneous reports and electronic health records for detection of adverse drug reactions , 2013, J. Am. Medical Informatics Assoc..
[5] Ling Shao,et al. A survey on fall detection: Principles and approaches , 2013, Neurocomputing.
[6] Christian Borgelt,et al. Frequent item set mining , 2012, WIREs Data Mining Knowl. Discov..
[7] Jesse Hoey,et al. Sensor-Based Activity Recognition , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[8] Eric C. Larson,et al. SpiroSmart: using a microphone to measure lung function on a mobile phone , 2012, UbiComp.
[9] Madhu C. Reddy,et al. Pervasive Computing for Hospital, Chronic, and Preventive Care , 2012, Found. Trends Hum. Comput. Interact..
[10] Athanasios V. Vasilakos,et al. ReTrust: Attack-Resistant and Lightweight Trust Management for Medical Sensor Networks , 2012, IEEE Transactions on Information Technology in Biomedicine.
[11] Daniel McDuff,et al. AffectAura: Emotional wellbeing reflection system , 2012, 2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops.
[12] E. Piotrowicz,et al. ECG telemonitoring during home-based cardiac rehabilitation in heart failure patients , 2012, Journal of telemedicine and telecare.
[13] Plamen P. Angelov,et al. Creating Evolving User Behavior Profiles Automatically , 2012, IEEE Transactions on Knowledge and Data Engineering.
[14] Jakob E. Bardram,et al. The MONARCA self-assessment system: a persuasive personal monitoring system for bipolar patients , 2012, IHI '12.
[15] Nadia Bianchi-Berthouze,et al. Emotion and pain: interactive technology to motivate physical activity in people with chronic pain , 2012 .
[16] Diane J. Cook,et al. Learning Setting-Generalized Activity Models for Smart Spaces , 2012, IEEE Intelligent Systems.
[17] Shyamal Patel,et al. A review of wearable sensors and systems with application in rehabilitation , 2012, Journal of NeuroEngineering and Rehabilitation.
[18] Gwenn Englebienne,et al. Hierarchical Activity Recognition Using Automatically Clustered Actions , 2011, AmI.
[19] Muhammad Ehsan ul Haq,et al. A Critical Analysis on Efficacy of Clinical Decision Support Systems in Health Care Domain , 2011 .
[20] Ye Xu,et al. Enabling large-scale human activity inference on smartphones using community similarity networks (csn) , 2011, UbiComp '11.
[21] Prafulla N. Dawadi,et al. An approach to cognitive assessment in smart home , 2011, DMMH '11.
[22] Berardina De Carolis,et al. Motivating People in Smart Environments , 2011, UMAP Workshops.
[23] Diane J. Cook,et al. Domain Selection and Adaptation in Smart Homes , 2011, ICOST.
[24] Marco Conti,et al. Wearable Computing and Sensor Systems for Healthcare , 2011 .
[25] D. Cook,et al. Author's Personal Copy Pervasive and Mobile Computing Activity Knowledge Transfer in Smart Environments , 2022 .
[26] R. Stafford,et al. Electronic health records and clinical decision support systems: impact on national ambulatory care quality. , 2011, Archives of internal medicine.
[27] Gregory M. P. O'Hare,et al. Orange alerts: Lessons from an outdoor case study , 2011, 2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops.
[28] Upkar Varshney,et al. Wireless Medication Management System: Design and performance evaluation , 2011, 2011 Wireless Telecommunications Symposium (WTS).
[29] Lawrence B. Holder,et al. Discovering Activities to Recognize and Track in a Smart Environment , 2011, IEEE Transactions on Knowledge and Data Engineering.
[30] Gary M. Weiss,et al. Activity recognition using cell phone accelerometers , 2011, SKDD.
[31] Chin-Feng Lai,et al. Detection of Cognitive Injured Body Region Using Multiple Triaxial Accelerometers for Elderly Falling , 2011, IEEE Sensors Journal.
[32] Rémi Ronfard,et al. A survey of vision-based methods for action representation, segmentation and recognition , 2011, Comput. Vis. Image Underst..
[33] Athanasios V. Vasilakos,et al. Body Area Networks: A Survey , 2010, Mob. Networks Appl..
[34] Jit Biswas,et al. Multiple People Activity Recognition using Simple Sensors , 2011, PECCS.
[35] Tatsuo Nakajima,et al. Designing motivation using persuasive ambient mirrors , 2011, Personal and Ubiquitous Computing.
[36] Ingrid Moerman,et al. A survey on wireless body area networks , 2011, Wirel. Networks.
[37] Diane J. Cook,et al. Mining Sensor Streams for Discovering Human Activity Patterns over Time , 2010, 2010 IEEE International Conference on Data Mining.
[38] E. Leon,et al. Computer-mediated emotional regulation: Detection of emotional changes using non-parametric cumulative sum , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.
[39] Stefan Goetze,et al. Voice activity detection driven acoustic event classification for monitoring in smart homes , 2010, 2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010).
[40] Jenny Benois-Pineau,et al. The IMMED project: wearable video monitoring of people with age dementia , 2010, ACM Multimedia.
[41] Jesse Hoey,et al. A tool to promote prolonged engagement in art therapy: design and development from arts therapist requirements , 2010, ASSETS '10.
[42] Chaoming Song,et al. Modelling the scaling properties of human mobility , 2010, 1010.0436.
[43] Emiliano Miluzzo,et al. A survey of mobile phone sensing , 2010, IEEE Communications Magazine.
[44] Sethuraman Panchanathan,et al. Activity gesture spotting using a threshold model based on Adaptive Boosting , 2010, 2010 IEEE International Conference on Multimedia and Expo.
[45] Khaled Shaalan,et al. Context-aware knowledge modelling for decision support in e-health , 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).
[46] H. C. Yeh,et al. iMAT: Intelligent medication administration tools , 2010, The 12th IEEE International Conference on e-Health Networking, Applications and Services.
[47] Min Dong,et al. Blind Path Identification System Design Base on RFID , 2010, 2010 International Conference on Electrical and Control Engineering.
[48] Hans W. Guesgen,et al. Use Cases for Abnormal Behaviour Detection in Smart Homes , 2010, ICOST.
[49] Ali H. Shoeb,et al. Application of Machine Learning To Epileptic Seizure Detection , 2010, ICML.
[50] Yongyi Yang,et al. Machine Learning in Medical Imaging , 2010, IEEE Signal Processing Magazine.
[51] Ivor W. Tsang,et al. Visual Event Recognition in Videos by Learning from Web Data , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[52] Jian Lu,et al. An unsupervised approach to activity recognition and segmentation based on object-use fingerprints , 2010, Data Knowl. Eng..
[53] Yi-Ting Chiang,et al. Strategies for Inference Mechanism of Conditional Random Fields for Multiple-Resident Activity Recognition in a Smart Home , 2010, IEA/AIE.
[54] G. Englebienne,et al. Transferring Knowledge of Activity Recognition across Sensor Networks , 2010, Pervasive.
[55] Zhi-Qiang Liu,et al. Human motion detection using Markov random fields , 2010, J. Ambient Intell. Humaniz. Comput..
[56] Paolo Bonato,et al. Wearable Sensors and Systems , 2010, IEEE Engineering in Medicine and Biology Magazine.
[57] Nicolas Vuillerme,et al. Behavioral Telemonitoring of the Elderly at Home: Detection of Nycthemeral Rhythms Drifts from Location Data , 2010, 2010 IEEE 24th International Conference on Advanced Information Networking and Applications Workshops.
[58] Axel Helmer,et al. A sensor-enhanced health information system to support automatically controlled exercise training of COPD patients , 2010, 2010 4th International Conference on Pervasive Computing Technologies for Healthcare.
[59] Athanasios V. Vasilakos,et al. A Pervasive Visual–Haptic Framework for Virtual Delivery Training , 2010, IEEE Transactions on Information Technology in Biomedicine.
[60] Jeffrey M. Hausdorff,et al. Wearable Assistant for Parkinson’s Disease Patients With the Freezing of Gait Symptom , 2010, IEEE Transactions on Information Technology in Biomedicine.
[61] Richard Tynan,et al. Towards evolutionary ambient assisted living systems , 2010, J. Ambient Intell. Humaniz. Comput..
[62] Boris E. R. de Ruyter,et al. Persuasion in ambient intelligence , 2010, J. Ambient Intell. Humaniz. Comput..
[63] Diane J. Cook,et al. Recognizing independent and joint activities among multiple residents in smart environments , 2010, J. Ambient Intell. Humaniz. Comput..
[64] Tao Gu,et al. Object relevance weight pattern mining for activity recognition and segmentation , 2010, Pervasive Mob. Comput..
[65] Huasong Cao,et al. A novel wireless three-pad ECG system for generating conventional 12-lead signals , 2010 .
[66] Achilles Kameas,et al. Pervasive Systems in Health Care , 2010, Handbook of Ambient Intelligence and Smart Environments.
[67] Diane J. Cook,et al. Activity Recognition using Actigraph Sensor , 2010 .
[68] Gwenn Englebienne,et al. An activity monitoring system for elderly care using generative and discriminative models , 2010, Personal and Ubiquitous Computing.
[69] P. Verbeek,et al. Ambient Intelligence and Persuasive Technology: The Blurring Boundaries Between Human and Technology , 2009, Nanoethics.
[70] Diane J. Cook,et al. Coping with multiple residents in a smart environment , 2009, J. Ambient Intell. Smart Environ..
[71] Jian Lu,et al. Sensor-Based Human Activity Recognition in a Multi-user Scenario , 2009, AmI.
[72] Zhanpeng Jin,et al. Predicting cardiovascular disease from real-time electrocardiographic monitoring: An adaptive machine learning approach on a cell phone , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[73] Marjorie Skubic,et al. Investigation of gait features for stability and risk identification in elders , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[74] Bettina Schnor,et al. KopAL – A Mobile Orientation System for Dementia Patients , 2009 .
[75] Kunio Doi,et al. Computer-aided diagnosis in radiological imaging: current status and future challenges , 2009, International Symposium on Multispectral Image Processing and Pattern Recognition.
[76] David Wetherall,et al. Recognizing daily activities with RFID-based sensors , 2009, UbiComp.
[77] Diane J. Cook,et al. Keeping the Resident in the Loop: Adapting the Smart Home to the User , 2009, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.
[78] C. Nugent,et al. Experiences in the development of a Smart Lab , 2009 .
[79] Cristina Botella,et al. The Intelligent e-Therapy system: a new paradigm for telepsychology and cybertherapy , 2009 .
[80] Charu C. Aggarwal,et al. Frequent pattern mining with uncertain data , 2009, KDD.
[81] Bernt Schiele,et al. Activity Recognition from Sparsely Labeled Data Using Multi-Instance Learning , 2009, LoCA.
[82] Pingshui Wang. A Survey on Privacy Preserving Data Mining , 2009, 2009 First International Workshop on Database Technology and Applications.
[83] Mark Hasegawa-Johnson,et al. Acoustic fall detection using Gaussian mixture models and GMM supervectors , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.
[84] Allen Y. Yang,et al. Distributed recognition of human actions using wearable motion sensor networks , 2009, J. Ambient Intell. Smart Environ..
[85] Yufeng Jin,et al. Mobile Human Airbag System for Fall Protection Using MEMS Sensors and Embedded SVM Classifier , 2009, IEEE Sensors Journal.
[86] Neil M. White,et al. Fabric-based Strain Sensors for Measuring Movement in Wearable Telemonitoring Applications , 2009 .
[87] John Nicholson,et al. ShopTalk: Independent Blind Shopping Through Verbal Route Directions and Barcode Scans , 2009 .
[88] Oliver Brdiczka,et al. Learning Situation Models in a Smart Home , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[89] Shueng-Han Gary Chan,et al. HomeMesh: a low-cost indoor wireless mesh for home networking , 2008, IEEE Communications Magazine.
[90] Andre Gustavo Adami,et al. Unobtrusive assessment of activity patterns associated with mild cognitive impairment , 2008, Alzheimer's & Dementia.
[91] Henry A. Kautz,et al. Improving the recognition of interleaved activities , 2008, UbiComp.
[92] H. Foroughi,et al. An eigenspace-based approach for human fall detection using Integrated Time Motion Image and Neural Network , 2008, 2008 9th International Conference on Signal Processing.
[93] Qiang Yang,et al. Sensor-Based Abnormal Human-Activity Detection , 2008, IEEE Transactions on Knowledge and Data Engineering.
[94] John A. Stankovic,et al. Context-aware wireless sensor networks for assisted living and residential monitoring , 2008, IEEE Network.
[95] Manfred Tscheligi,et al. perFrames: Persuasive Picture Frames for Proper Posture , 2008, PERSUASIVE.
[96] Paul Lukowicz,et al. Gesture spotting with body-worn inertial sensors to detect user activities , 2008, Pattern Recognit..
[97] S. Chumkamon,et al. A blind navigation system using RFID for indoor environments , 2008, 2008 5th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology.
[98] Pau-Choo Chung,et al. A daily behavior enabled hidden Markov model for human behavior understanding , 2008, Pattern Recognit..
[99] Privender Saini,et al. Philips stroke rehabilitation exerciser: a usability test , 2008 .
[100] Manfred Tscheligi,et al. Surrounded by ambient persuasion , 2008, CHI Extended Abstracts.
[101] Shuwan Xue,et al. Portable Preimpact Fall Detector With Inertial Sensors , 2008, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[102] M. Skubic,et al. Findings from a participatory evaluation of a smart home application for older adults. , 2008, Technology and health care : official journal of the European Society for Engineering and Medicine.
[103] Robert A. Greenes,et al. Physiological signal monitoring in the waiting areas of an emergency room , 2008, BODYNETS.
[104] Gerhard Tröster,et al. SMASH: a distributed sensing and processing garment for the classification of upper body postures , 2008, BODYNETS.
[105] Majid Sarrafzadeh,et al. The SmartCane system: an assistive device for geriatrics , 2008, BODYNETS.
[106] Jesús Favela,et al. Activity Recognition for the Smart Hospital , 2008, IEEE Intelligent Systems.
[107] Javier Bajo,et al. GerAmi: Improving Healthcare Delivery in Geriatric Residences , 2008, IEEE Intelligent Systems.
[108] Cristina Urdiales,et al. Agent Technology and e-Health , 2008 .
[109] John F. Hurdle,et al. Extracting Information from Textual Documents in the Electronic Health Record: A Review of Recent Research , 2008, Yearbook of Medical Informatics.
[110] Vikramaditya R. Jakkula,et al. Anomaly Detection Using Temporal Data Mining in a Smart Home Environment , 2008, Methods of Information in Medicine.
[111] Diana Hodgins,et al. Healthy Aims: Developing New Medical Implants and Diagnostic Equipment , 2008, IEEE Pervasive Computing.
[112] Maryam Mahdaviani,et al. Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition , 2007, NIPS.
[113] DaeHyun Ryu,et al. Ubiquitous Rehabilitation Center: An Implementation of a Wireless Sensor Network Based Rehabilitation Management System , 2007, 2007 International Conference on Convergence Information Technology (ICCIT 2007).
[114] Frank Dellaert,et al. SWAN: System for Wearable Audio Navigation , 2007, 2007 11th IEEE International Symposium on Wearable Computers.
[115] Gregory D. Abowd,et al. Physical, Social, and Experiential Knowledge in Pervasive Computing Environments , 2007, IEEE Pervasive Computing.
[116] Albert Ali Salah,et al. Sensor Networks for Ambient Intelligence , 2007, 2007 IEEE 9th Workshop on Multimedia Signal Processing.
[117] Majid Sarrafzadeh,et al. The Advanced Health and Disaster Aid Network: A Light-Weight Wireless Medical System for Triage , 2007, IEEE Transactions on Biomedical Circuits and Systems.
[118] Ari Visa,et al. GAIS: A Method for Detecting Interleaved Sequential Patterns from Imperfect Data , 2007, 2007 IEEE Symposium on Computational Intelligence and Data Mining.
[119] Manuela M. Veloso,et al. Conditional random fields for activity recognition , 2007, AAMAS '07.
[120] Sumio Murase,et al. New approach for the early detection of dementia by recording in-house activities. , 2007, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.
[121] Jong-Tae Lim,et al. Robotic smart house to assist people with movement disabilities , 2007, Auton. Robots.
[122] Henry A. Kautz,et al. Learning and inferring transportation routines , 2004, Artif. Intell..
[123] Abhisek Ukil,et al. Support Vector Machine , 2007 .
[124] Chris D. Nugent,et al. The next generation of mobile medication management solutions , 2007, Int. J. Electron. Heal..
[125] Asuman Dogac,et al. SAPHIRE: A Multi-Agent System for Remote Healthcare Monitoring through Computerized Clinical Guidelines , 2007 .
[126] B. Kröse,et al. Bayesian Activity Recognition in Residence for Elders , 2007 .
[127] Jiawei Han,et al. Frequent pattern mining: current status and future directions , 2007, Data Mining and Knowledge Discovery.
[128] Jian Pei,et al. Constraint-based sequential pattern mining: the pattern-growth methods , 2007, Journal of Intelligent Information Systems.
[129] Reinhold Haux,et al. Individualization, globalization and health - about sustainable information technologies and the aim of medical informatics , 2006, Int. J. Medical Informatics.
[130] E. Kim,et al. A survey of decision support system applications (1995–2001) , 2006, J. Oper. Res. Soc..
[131] Adrian Hilton,et al. A survey of advances in vision-based human motion capture and analysis , 2006, Comput. Vis. Image Underst..
[132] Chung-Chih Lin,et al. Wireless Health Care Service System for Elderly With Dementia , 2006, IEEE Transactions on Information Technology in Biomedicine.
[133] Shahram Izadi,et al. SenseCam: A Retrospective Memory Aid , 2006, UbiComp.
[134] Agnar Aamodt,et al. Contextualised Ambient Intelligence Through Case-Based Reasoning , 2006, ECCBR.
[135] Carmen C. Y. Poon,et al. A novel biometrics method to secure wireless body area sensor networks for telemedicine and m-health , 2006, IEEE Communications Magazine.
[136] M. Rienzo,et al. The DAT Project: A Smart Home Environment for People with Disabilities , 2006, ICCHP.
[137] F. Babiloni,et al. Brain-Operated Assistive Devices: the ASPICE Project , 2006, The First IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006. BioRob 2006..
[138] Manfred Tscheligi,et al. perCues: Trails of Persuasion for Ambient Intelligence , 2006, PERSUASIVE.
[139] Yvonne de Kort,et al. Persuasive Technology for Human Well-Being: Setting the Scene , 2006, PERSUASIVE.
[140] M. Alwan,et al. A Smart and Passive Floor-Vibration Based Fall Detector for Elderly , 2006, 2006 2nd International Conference on Information & Communication Technologies.
[141] Daniel P. Siewiorek,et al. Activity recognition and monitoring using multiple sensors on different body positions , 2006, International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06).
[142] S. Gunn,et al. Machine Learning Can Improve Prediction of Severity in Acute Pancreatitis Using Admission Values of APACHE II Score and C-Reactive Protein , 2006, Pancreatology.
[143] Johanna Höysniemi,et al. International survey on the Dance Dance Revolution game , 2006, CIE.
[144] Richard C. Simpson,et al. Plans and Planning in Smart Homes , 2006, Designing Smart Homes.
[145] Mark Buckland,et al. Liverpool Telecare Pilot: telecare as an information tool. , 2006, Informatics in primary care.
[146] John A. Stankovic,et al. ALARM-NET: Wireless Sensor Networks for Assisted-Living and Residential Monitoring , 2006 .
[147] J. Habetha. The myheart project - Fighting cardiovascular diseases by prevention and early diagnosis , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.
[148] Henry A. Kautz,et al. Fine-grained activity recognition by aggregating abstract object usage , 2005, Ninth IEEE International Symposium on Wearable Computers (ISWC'05).
[149] D. Madigan,et al. The role of data mining in pharmacovigilance , 2005, Expert opinion on drug safety.
[150] Rita Paradiso,et al. A wearable health care system based on knitted integrated sensors , 2005, IEEE Transactions on Information Technology in Biomedicine.
[151] Jun-Hyeong Do,et al. Advanced robotic residence for the elderly/the handicapped: realization and user evaluation , 2005, 9th International Conference on Rehabilitation Robotics, 2005. ICORR 2005..
[152] Aurora Vizcaíno,et al. Agent-based ambient intelligence for healthcare , 2005, AI Commun..
[153] Y. Higashi,et al. An unconstrained monitoring system for home rehabilitation , 2005, IEEE Engineering in Medicine and Biology Magazine.
[154] M. Noshiro,et al. An algorithm for the automatic detection of health conditions , 2005, IEEE Engineering in Medicine and Biology Magazine.
[155] Michael J. Laszlo,et al. Minimum spanning tree partitioning algorithm for microaggregation , 2005, IEEE Transactions on Knowledge and Data Engineering.
[156] Christopher G. Atkeson,et al. Simultaneous Tracking and Activity Recognition (STAR) Using Many Anonymous, Binary Sensors , 2005, Pervasive.
[157] Ian F. Akyildiz,et al. Wireless mesh networks: a survey , 2005, Comput. Networks.
[158] Aleksandar Milenkovic,et al. Journal of Neuroengineering and Rehabilitation Open Access a Wireless Body Area Network of Intelligent Motion Sensors for Computer Assisted Physical Rehabilitation , 2005 .
[159] P. Castiglioni,et al. MagIC System: a New Textile-Based Wearable Device for Biological Signal Monitoring. Applicability in Daily Life and Clinical Setting , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.
[160] Donald E. Brown,et al. Health-status monitoring through analysis of behavioral patterns , 2005, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.
[161] Manuel Roveri,et al. What planner for ambient intelligence applications? , 2005, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.
[162] Paul Lukowicz,et al. AMON: a wearable multiparameter medical monitoring and alert system , 2004, IEEE Transactions on Information Technology in Biomedicine.
[163] Datong Chen,et al. Towards automatic analysis of social interaction patterns in a nursing home environment from video , 2004, MIR '04.
[164] Henry A. Kautz,et al. Inferring activities from interactions with objects , 2004, IEEE Pervasive Computing.
[165] Krzysztof Z. Gajos,et al. Opportunity Knocks: A System to Provide Cognitive Assistance with Transportation Services , 2004, UbiComp.
[166] Jesús Favela,et al. Integrating context-aware public displays into a mobile hospital information system , 2004, IEEE Transactions on Information Technology in Biomedicine.
[167] Alex Mihailidis,et al. The use of computer vision in an intelligent environment to support aging-in-place, safety, and independence in the home , 2004, IEEE Transactions on Information Technology in Biomedicine.
[168] Matthai Philipose,et al. Mining models of human activities from the web , 2004, WWW '04.
[169] Ling Bao,et al. Activity Recognition from User-Annotated Acceleration Data , 2004, Pervasive.
[170] Kent Larson,et al. Activity Recognition in the Home Using Simple and Ubiquitous Sensors , 2004, Pervasive.
[171] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[172] J. Ross Quinlan,et al. Induction of Decision Trees , 1986, Machine Learning.
[173] Amedeo Cesta,et al. RoboCare: Pervasive Intelligence for the Domestic Care of the Elderly , 2004, Intelligenza Artificiale.
[174] Archan Misra,et al. Pervasive Computing in Health Care: Smart Spaces and Enterprise Information Systems , 2004 .
[175] Diane J. Cook,et al. Improving home automation by discovering regularly occurring device usage patterns , 2003, Third IEEE International Conference on Data Mining.
[176] Henry A. Kautz,et al. Inferring High-Level Behavior from Low-Level Sensors , 2003, UbiComp.
[177] Martha E. Pollack,et al. Autominder: an intelligent cognitive orthotic system for people with memory impairment , 2003, Robotics Auton. Syst..
[178] Christian Floerkemeier,et al. Interaction in pervasive computing settings using Bluetooth-enabled active tags and passive RFID technology together with mobile phones , 2003, Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003)..
[179] Kajiro Watanabe,et al. Home health monitoring system in the sleep , 2003, SICE 2003 Annual Conference (IEEE Cat. No.03TH8734).
[180] P. Rubel,et al. Ambient intelligence and pervasive systems for the monitoring of citizens at cardiac risk: New solutions from the EPI-MEDICS project , 2002, Computers in Cardiology.
[181] Arthur D. Fisk,et al. Learning to Use a Home Medical Device: Mediating Age-Related Differences with Training , 2002, Hum. Factors.
[182] Kenji Mase,et al. Activity and Location Recognition Using Wearable Sensors , 2002, IEEE Pervasive Comput..
[183] Shichao Zhang,et al. Association Rule Mining: Models and Algorithms , 2002 .
[184] Tapio Seppänen,et al. Recognizing human motion with multiple acceleration sensors , 2001, 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236).
[185] Blai Bonet,et al. Planning as heuristic search , 2001, Artif. Intell..
[186] Takashi Suehiro,et al. Sensorized environment for self-communication based on observation of daily human behavior , 2000, Proceedings. 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2000) (Cat. No.00CH37113).
[187] Umeshwar Dayal,et al. FreeSpan: frequent pattern-projected sequential pattern mining , 2000, KDD '00.
[188] John Levine,et al. O-Plan: A Web-Based AI Planning Agent , 2000, AAAI/IAAI.
[189] Dadong Wan,et al. Magic Medicine Cabinet: A Situated Portal for Consumer Healthcare , 1999, HUC.
[190] Kyuseok Shim,et al. SPIRIT: Sequential Pattern Mining with Regular Expression Constraints , 1999, VLDB.
[191] R. Snyder-Halpern. Assessing health care setting readiness for point of care computerized clinical decision support system innovations. , 1999, Outcomes management for nursing practice.
[192] Jason Tester,et al. The landscape of persuasive technologies , 1999, CACM.
[193] Dennis Shasha,et al. New Techniques for DNA Sequence Classification , 1999, J. Comput. Biol..
[194] Ramakrishnan Srikant,et al. Fast algorithms for mining association rules , 1998, VLDB 1998.
[195] David D. Lewis,et al. Naive (Bayes) at Forty: The Independence Assumption in Information Retrieval , 1998, ECML.
[196] Sean B. Eom,et al. A survey of decision support system applications (1988–1994) , 1998, J. Oper. Res. Soc..
[197] Alex Pentland,et al. Coupled hidden Markov models for complex action recognition , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[198] D G Glover,et al. Automated medication dispensing devices. , 1997, Journal of the American Pharmaceutical Association.
[199] Richard Levinson,et al. The Planning and Execution Assistant and Trainer (peat) , 1997 .
[200] E. Turban,et al. Implementing decision support systems: a survey , 1996, 1996 IEEE International Conference on Systems, Man and Cybernetics. Information Intelligence and Systems (Cat. No.96CH35929).
[201] Martin T. Hagan,et al. Neural network design , 1995 .
[202] Avrim Blum,et al. Fast Planning Through Planning Graph Analysis , 1995, IJCAI.
[203] Ramakrishnan Srikant,et al. Mining sequential patterns , 1995, Proceedings of the Eleventh International Conference on Data Engineering.
[204] R Linnarsson,et al. Drug interactions in primary health care. A retrospective database study and its implications for the design of a computerized decision support system. , 1993, Scandinavian journal of primary health care.
[205] R A Bankowitz,et al. A Method for Assessing the Impact of a Computer-Based Decision Support System on Health Care Outcomes , 1992, Methods of Information in Medicine.
[206] Ali S. Hadi,et al. Finding Groups in Data: An Introduction to Chster Analysis , 1991 .
[207] David A. Landgrebe,et al. A survey of decision tree classifier methodology , 1991, IEEE Trans. Syst. Man Cybern..
[208] D. Hosmer,et al. Applied Logistic Regression , 1991 .
[209] R. James Firby,et al. An Investigation into Reactive Planning in Complex Domains , 1987, AAAI.
[210] János Demetrovics,et al. A Microcomputer-Network Based Decision Support System for Health-Care Organizations , 1984 .
[211] Y. Sekita,et al. A decision support system for regional health care planning in a metropolitan area. , 1984, Japan-hospitals : the journal of the Japan Hospital Association.
[212] Chin-Liang Chang,et al. Finding Prototypes For Nearest Neighbor Classifiers , 1974, IEEE Transactions on Computers.
[213] F ROSENBLATT,et al. The perceptron: a probabilistic model for information storage and organization in the brain. , 1958, Psychological review.
[214] R. Bellman. A Markovian Decision Process , 1957 .