Sensor-Based Activity Recognition Review
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[1] Mubarak Shah,et al. Ontology and taxonomy collaborated framework for meeting classification , 2004, ICPR 2004.
[2] Michael C. Mozer,et al. The Neural Network House: An Environment that Adapts to its Inhabitants , 1998 .
[3] Friedrich Foerster,et al. Motion pattern and posture: Correctly assessed by calibrated accelerometers , 2000, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.
[4] Christopher G. Atkeson,et al. Simultaneous Tracking and Activity Recognition (STAR) Using Many Anonymous, Binary Sensors , 2005, Pervasive.
[5] Kenji Mase,et al. Activity and Location Recognition Using Wearable Sensors , 2002, IEEE Pervasive Comput..
[6] Henry A. Kautz,et al. An Overview of the Assisted Cognition Project , 2002 .
[7] Henry A. Kautz,et al. Inferring activities from interactions with objects , 2004, IEEE Pervasive Computing.
[8] Henry A. Kautz,et al. Learning and inferring transportation routines , 2004, Artif. Intell..
[9] Monique Thonnat,et al. A video interpretation platform applied to bank agency monitoring , 2004 .
[10] Simon A. Dobson,et al. A top-level ontology for smart environments , 2011, Pervasive Mob. Comput..
[11] Albrecht Schmidt,et al. There is more to context than location , 1999, Comput. Graph..
[12] Eric Horvitz,et al. Layered representations for learning and inferring office activity from multiple sensory channels , 2004, Comput. Vis. Image Underst..
[13] Miodrag Potkonjak,et al. Smart kindergarten: sensor-based wireless networks for smart developmental problem-solving environments , 2001, MobiCom '01.
[14] J.K. Aggarwal,et al. Human activity analysis , 2011, ACM Comput. Surv..
[15] Murray Shanahan. Solving the frame problem - a mathematical investigation of the common sense law of inertia , 1997 .
[16] 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).
[17] Wayne Wobcke,et al. Two Logical Theories of Plan Recognition , 2002, J. Log. Comput..
[18] Matthai Philipose,et al. Building Reliable Activity Models Using Hierarchical Shrinkage and Mined Ontology , 2006, Pervasive.
[19] Matthai Philipose,et al. Mining models of human activities from the web , 2004, WWW '04.
[20] Neal Lesh,et al. Indoor navigation using a diverse set of cheap, wearable sensors , 1999, Digest of Papers. Third International Symposium on Wearable Computers.
[21] Diane J. Cook,et al. Learning Setting-Generalized Activity Models for Smart Spaces , 2012, IEEE Intelligent Systems.
[22] Maxim A. Batalin,et al. Demonstration of Active Guidance with SmartCane , 2008, 2008 International Conference on Information Processing in Sensor Networks (ipsn 2008).
[23] Jeff A. Bilmes,et al. Structure Learning on Large Scale Common Sense Statistical Models of Human State , 2008, AAAI.
[24] Paul Lukowicz,et al. Wearable sensing to annotate meeting recordings , 2002, Proceedings. Sixth International Symposium on Wearable Computers,.
[25] Jian Lu,et al. epSICAR: An Emerging Patterns based approach to sequential, interleaved and Concurrent Activity Recognition , 2009, 2009 IEEE International Conference on Pervasive Computing and Communications.
[26] Maryam Mahdaviani,et al. Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition , 2007, NIPS.
[27] Jesús Favela,et al. Activity Recognition for the Smart Hospital , 2008, IEEE Intelligent Systems.
[28] Ramakant Nevatia,et al. VERL: An Ontology Framework for Representing and Annotating Video Events , 2005, IEEE Multim..
[29] Koen De Bosschere,et al. Towards an Extensible Context Ontology for Ambient Intelligence , 2004, EUSAI.
[30] Ramakant Nevatia,et al. An Ontology for Video Event Representation , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.
[31] Thad Starner,et al. Using GPS to learn significant locations and predict movement across multiple users , 2003, Personal and Ubiquitous Computing.
[32] Ling Bao,et al. Activity Recognition from User-Annotated Acceleration Data , 2004, Pervasive.
[33] Hoi-Jun Yoo,et al. Analysis of body sensor network using human body as the channel , 2008, BODYNETS.
[34] Rama Chellappa,et al. An ontology based approach for activity recognition from video , 2008, ACM Multimedia.
[35] Claudio Bettini,et al. OWL 2 modeling and reasoning with complex human activities , 2011, Pervasive Mob. Comput..
[36] Paul Lukowicz,et al. Recognizing Workshop Activity Using Body Worn Microphones and Accelerometers , 2004, Pervasive.
[37] Datong Chen,et al. A Study of Detecting Social Interaction with Sensors in a Nursing Home Environment , 2005, ICCV-HCI.
[38] Henry A. Kautz,et al. Fine-grained activity recognition by aggregating abstract object usage , 2005, Ninth IEEE International Symposium on Wearable Computers (ISWC'05).
[39] David Wetherall,et al. Recognizing daily activities with RFID-based sensors , 2009, UbiComp.
[40] Ingrid Zukerman,et al. Towards a Bayesian Model for Keyhole Plan Recognition in Large Domains , 1997 .
[41] Emmanuel Munguia Tapia,et al. Toward Scalable Activity Recognition for Sensor Networks , 2006, LoCA.
[42] Eric Campo,et al. A review of smart homes - Present state and future challenges , 2008, Comput. Methods Programs Biomed..
[43] Tao Gu,et al. Object relevance weight pattern mining for activity recognition and segmentation , 2010, Pervasive Mob. Comput..
[44] Satoshi Tanaka,et al. Applying Ontology and Probabilistic Model to Human Activity Recognition from Surrounding Things , 2007 .
[45] A. Mihailidis,et al. The development of an adaptive upper-limb stroke rehabilitation robotic system , 2011, Journal of NeuroEngineering and Rehabilitation.
[46] Henry A. Kautz,et al. Inferring High-Level Behavior from Low-Level Sensors , 2003, UbiComp.
[47] Eric Horvitz,et al. The Lumière Project: Bayesian User Modeling for Inferring the Goals and Needs of Software Users , 1998, UAI.
[48] Michael L. Littman,et al. Activity Recognition from Accelerometer Data , 2005, AAAI.
[49] Nikolaos G. Bourbakis,et al. Wearable Obstacle Avoidance Electronic Travel Aids for Blind: A Survey , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[50] Oliver Brdiczka,et al. Learning Situation Models in a Smart Home , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[51] Alex Pentland,et al. Shiver motion and core body temperature classification for wearable soldier health monitoring systems , 2004, Eighth International Symposium on Wearable Computers.
[52] Jeff Magee,et al. Multi-sensor location tracking , 1998, MobiCom '98.
[53] Nikolaos G. Bourbakis,et al. A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[54] Bernard Lefebvre,et al. Ontology-Based Management of the Telehealth Smart Home, Dedicated to Elderly in Loss of Cognitive Autonomy , 2007, OWLED.
[55] Anthony Rowe,et al. Location and Activity Recognition Using eWatch: A Wearable Sensor Platform , 2006, Ambient Intelligence in Everyday.
[56] Albrecht Schmidt,et al. Multi-Sensor Context-Awareness in Mobile Devices and Smart Artifacts , 2002, Mob. Networks Appl..
[57] Henry A. Kautz,et al. Hierarchical Conditional Random Fields for GPS-Based Activity Recognition , 2005, ISRR.
[58] Henry A. Kautz,et al. Integrating Sensing and Cueing for More Effective Activity Reminders , 2008, AAAI Fall Symposium: AI in Eldercare: New Solutions to Old Problems.
[59] Gerhard Tröster,et al. SMASH: a distributed sensing and processing garment for the classification of upper body postures , 2008, BODYNETS.
[60] Qiang Yang,et al. CIGAR: Concurrent and Interleaving Goal and Activity Recognition , 2008 .
[61] Mario Cannataro,et al. Protein-to-protein interactions: Technologies, databases, and algorithms , 2010, CSUR.
[62] Matthai Philipose,et al. Hands-on RFID: wireless wearables for detecting use of objects , 2005, Ninth IEEE International Symposium on Wearable Computers (ISWC'05).
[63] Kent Lyons,et al. The Gesture Watch: A Wireless Contact-free Gesture based Wrist Interface , 2007, 2007 11th IEEE International Symposium on Wearable Computers.
[64] John F. Canny,et al. Modeling Human Behavior from Simple Sensors in the Home , 2006, Pervasive.
[65] C. Randell,et al. Context awareness by analysing accelerometer data , 2000, Digest of Papers. Fourth International Symposium on Wearable Computers.
[66] Pascal Poupart,et al. Comparative Analysis of Probabilistic Models for Activity Recognition with an Instrumented Walker , 2010, UAI.
[67] Ingrid Zukerman,et al. Bayesian Models for Keyhole Plan Recognition in an Adventure Game , 2004, User Modeling and User-Adapted Interaction.
[68] Kristof Van Laerhoven,et al. Real-time analysis of data from many sensors with neural networks , 2001, Proceedings Fifth International Symposium on Wearable Computers.
[69] Karen Zita Haigh,et al. Learning Models of Human Behaviour with Sequential Patterns , 2002 .
[70] Martha E. Pollack,et al. An 'Object-Use Fingerprint': The Use of Electronic Sensors for Human Identification , 2007, UbiComp.
[71] James M. Rehg,et al. A Scalable Approach to Activity Recognition based on Object Use , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[72] Henry Kautz,et al. Chapter 2 – A Formal Theory of Plan Recognition and its Implementation , 1991 .
[73] Manuela M. Veloso,et al. Conditional random fields for activity recognition , 2007, AAMAS '07.
[74] Chris D. Nugent,et al. Semantic Smart Homes: Towards Knowledge Rich Assisted Living Environments , 2009 .
[75] John A. Quinn,et al. Factorial Switching Linear Dynamical Systems Applied to Physiological Condition Monitoring , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[76] Chris D. Nugent,et al. A Knowledge-Driven Approach to Activity Recognition in Smart Homes , 2012, IEEE Transactions on Knowledge and Data Engineering.
[77] Datong Chen,et al. Towards automatic analysis of social interaction patterns in a nursing home environment from video , 2004, MIR '04.
[78] Abdenour Bouzouane,et al. A Smart Home Agent for Plan Recognition of Cognitively-impaired Patients , 2006, J. Comput..
[79] C. Nugent,et al. Experiences in the development of a Smart Lab , 2009 .
[80] Matthai Philipose,et al. Unsupervised Activity Recognition Using Automatically Mined Common Sense , 2005, AAAI.
[81] Dan Ding,et al. Virtual Reality and Computer-Enhanced Training Applied to Wheeled Mobility: An Overview of Work in Pittsburgh , 2005, Assistive technology : the official journal of RESNA.