Activity identification using body-mounted sensors—a review of classification techniques
暂无分享,去创建一个
Kenneth Meijer | Stephen J Preece | John Y Goulermas | Dave Howard | Laurence P J Kenney | J. Y. Goulermas | Robin Crompton | D. Howard | R. Crompton | L. Kenney | K. Meijer | S. Preece | J. Goulermas
[1] Alan Godfrey,et al. Motion Analysis in Delirium: A Novel Method of Clarifying Motoric Subtypes , 2007, Neurocase.
[2] Kamiar Aminian,et al. Measurement of stand-sit and sit-stand transitions using a miniature gyroscope and its application in fall risk evaluation in the elderly , 2002, IEEE Transactions on Biomedical Engineering.
[3] H J Montoye,et al. The assessment of physical activity by questionnaire. , 1986, American Journal of Epidemiology.
[4] H.J. Stam,et al. Automated estimation of initial and terminal contact timing using accelerometers; development and validation in transtibial amputees and controls , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[5] J. Tuomilehto,et al. Low physical activity as a predictor for total and cardiovascular disease mortality in middle-aged men and women in Finland. , 2004, European heart journal.
[6] G M Lyons,et al. Long-term mobility monitoring of older adults using accelerometers in a clinical environment , 2004, Clinical rehabilitation.
[7] Ling Bao,et al. Activity Recognition from User-Annotated Acceleration Data , 2004, Pervasive.
[8] Kelly R Evenson,et al. Accelerometer use in physical activity: best practices and research recommendations. , 2005, Medicine and science in sports and exercise.
[9] Bernt Schiele,et al. Unsupervised Discovery of Structure in Activity Data Using Multiple Eigenspaces , 2006, LoCA.
[10] B. G. Celler,et al. Classification of basic daily movements using a triaxial accelerometer , 2004, Medical and Biological Engineering and Computing.
[11] K. Aminian,et al. Temporal feature estimation during walking using miniature accelerometers: an analysis of gait improvement after hip arthroplasty , 1999, Medical & Biological Engineering & Computing.
[12] Peter H. Veltink,et al. Measuring orientation of human body segments using miniature gyroscopes and accelerometers , 2005, Medical and Biological Engineering and Computing.
[13] K. Aminian,et al. The prediction of speed and incline in outdoor running in humans using accelerometry. , 1999, Medicine and science in sports and exercise.
[14] H. Busser,et al. Ambulatory monitoring of physical activity in working situations, a validation study. , 1998, Journal of medical engineering & technology.
[15] P H Veltink,et al. Detection of static and dynamic activities using uniaxial accelerometers. , 1996, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[16] J. Fahrenberg,et al. Assessment of posture and motion by multichannel piezoresistive accelerometer recordings. , 1997, Psychophysiology.
[17] Michael L. Littman,et al. Activity Recognition from Accelerometer Data , 2005, AAAI.
[18] J. Bussmann,et al. Ambulatory accelerometry to quantify motor behaviour in patients after failed back surgery: a validation study , 1998, Pain.
[19] Tatsuo Nakajima,et al. Feature Selection and Activity Recognition from Wearable Sensors , 2006, UCS.
[20] Bernt Schiele,et al. Analyzing features for activity recognition , 2005, sOc-EUSAI '05.
[21] J. Staudenmayer,et al. Development of novel techniques to classify physical activity mode using accelerometers. , 2006, Medicine and science in sports and exercise.
[22] 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.
[23] E. Gelsema,et al. Recognition of daily life motor activity classes using an artificial neural network. , 1998, Archives of physical medicine and rehabilitation.
[24] M N Nyan,et al. Distinguishing fall activities from normal activities by angular rate characteristics and high-speed camera characterization. , 2006, Medical engineering & physics.
[25] G. Wu,et al. Distinguishing fall activities from normal activities by velocity characteristics. , 2000, Journal of biomechanics.
[26] Hylton B Menz,et al. Accelerometry: a technique for quantifying movement patterns during walking. , 2008, Gait & posture.
[27] C J Snijders,et al. Computerized analysis of daily life motor activity for ambulatory monitoring. , 1997, Technology and health care : official journal of the European Society for Engineering and Medicine.
[28] Andreas Krause,et al. Unsupervised, dynamic identification of physiological and activity context in wearable computing , 2003, Seventh IEEE International Symposium on Wearable Computers, 2003. Proceedings..
[29] Kenji Mase,et al. Activity and Location Recognition Using Wearable Sensors , 2002, IEEE Pervasive Comput..
[30] P. Freedson,et al. Validity of accelerometry for the assessment of moderate intensity physical activity in the field. , 2000, Medicine and science in sports and exercise.
[31] Andrew R. Webb,et al. Statistical Pattern Recognition , 1999 .
[32] Geoffrey J. McLachlan,et al. Finite Mixture Models , 2019, Annual Review of Statistics and Its Application.
[33] Bernt Schiele,et al. Towards Less Supervision in Activity Recognition from Wearable Sensors , 2006, 2006 10th IEEE International Symposium on Wearable Computers.
[34] Johannes Peltola,et al. Activity classification using realistic data from wearable sensors , 2006, IEEE Transactions on Information Technology in Biomedicine.
[35] D.B. Popovic,et al. Machine learning in control of functional electrical stimulation systems for locomotion , 1995, IEEE Transactions on Biomedical Engineering.
[36] Kristof Van Laerhoven,et al. What shall we teach our pants? , 2000, Digest of Papers. Fourth International Symposium on Wearable Computers.
[37] Amara Lynn Graps,et al. An introduction to wavelets , 1995 .
[38] E. Taub,et al. Objective measurement of functional upper-extremity movement using accelerometer recordings transformed with a threshold filter. , 2000, Stroke.
[39] Gaetano Borriello,et al. A Practical Approach to Recognizing Physical Activities , 2006, Pervasive.
[40] M Makikawa,et al. Development of an ambulatory physical activity memory device and its application for the categorization of actions in daily life. , 1995, Medinfo. MEDINFO.
[41] Justin R. Boyle,et al. Quantifying Functional Mobility Progress for Chronic Disease Management , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.
[42] David Howard,et al. A Comparison of Feature Extraction Methods for the Classification of Dynamic Activities From Accelerometer Data , 2009, IEEE Transactions on Biomedical Engineering.
[43] A. Yancey,et al. Physical inactivity and overweight among Los Angeles County adults. , 2004, American journal of preventive medicine.
[44] Tong Zhang,et al. Fall Detection by Wearable Sensor and One-Class SVM Algorithm , 2006 .
[45] M. Akay,et al. Discrimination of walking patterns using wavelet-based fractal analysis , 2002, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[46] K Aminian,et al. Can accelerometry accurately predict the energy cost of uphill/downhill walking? , 2001, Ergonomics.
[47] R. J. Gurley,et al. Persons found in their homes helpless or dead. , 1996, The New England journal of medicine.
[48] L. Ohno-Machado,et al. Neural network applications in physical medicine and rehabilitation. , 1999, American journal of physical medicine & rehabilitation.
[49] B. Celler,et al. Accelerometry Based Classification of Walking Patterns Using Time-frequency Analysis , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[50] H. Busser,et al. Ambulatory monitoring of children's activity. , 1997, Medical engineering & physics.
[51] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[52] M. Decramer,et al. Quantifying physical activity in daily life with questionnaires and motion sensors in COPD , 2006, European Respiratory Journal.
[53] A McIntosh,et al. The design of a practical and reliable fall detector for community and institutional telecare , 2000, Journal of telemedicine and telecare.
[54] K. Aminian,et al. Physical activity monitoring based on accelerometry: validation and comparison with video observation , 1999, Medical & Biological Engineering & Computing.
[55] D. Rosenbaum,et al. Quantity versus quality of gait and quality of life in patients with osteoarthritis. , 2008, Gait & posture.
[56] B. Ugur Toreyin,et al. Falling Person Detection Using Multi-sensor Signal Processing , 2007 .
[57] H.C. Kim,et al. Development of novel algorithm and real-time monitoring ambulatory system using Bluetooth module for fall detection in the elderly , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[58] J. Allum,et al. Gait event detection using linear accelerometers or angular velocity transducers in able-bodied and spinal-cord injured individuals. , 2006, Gait & posture.
[59] S. Mukhopadhyay,et al. Resistive fibre-meshed transducers , 2003, Seventh IEEE International Symposium on Wearable Computers, 2003. Proceedings..
[60] Angelo M. Sabatini,et al. Quaternion-based extended Kalman filter for determining orientation by inertial and magnetic sensing , 2006, IEEE Transactions on Biomedical Engineering.
[61] A. Enis Çetin,et al. Falling Person Detection Using Multi-Sensor Signal Processing , 2007, 2007 IEEE 15th Signal Processing and Communications Applications.
[62] J. B. J. Bussmann,et al. Measuring daily behavior using ambulatory accelerometry: The Activity Monitor , 2001, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.
[63] Karen Holtzblatt. Designing for the Mobile Device: Experiences, Challenges, and Methods , 2005 .
[64] T. Tamura,et al. Classification of walking pattern using acceleration waveform in elderly people , 2000, Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143).
[65] G. Lyons,et al. The use of accelerometry to detect heel contact events for use as a sensor in FES assisted walking. , 2003, Medical engineering & physics.
[66] O. Rioul,et al. Wavelets and signal processing , 1991, IEEE Signal Processing Magazine.
[67] Ilias Maglogiannis,et al. Advanced patient or elder fall detection based on movement and sound data , 2008, Pervasive 2008.
[68] C. Becker,et al. Evaluation of a fall detector based on accelerometers: A pilot study , 2005, Medical and Biological Engineering and Computing.
[69] Kamiar Aminian,et al. Ambulatory Monitoring of Physical Activities in Patients With Parkinson's Disease , 2007, IEEE Transactions on Biomedical Engineering.
[70] T. Findley,et al. A useful method for measuring daily physical activity by a three-direction monitor. , 1997, Scandinavian journal of rehabilitation medicine.
[71] C. Caspersen,et al. Physical activity, exercise, and physical fitness: definitions and distinctions for health-related research. , 1985, Public health reports.
[72] O. Wilder‐Smith,et al. How dangerous are falls in old people at home? , 1981, British medical journal.
[73] K Aminian,et al. Ambulatory system for the quantitative and qualitative analysis of gait and posture in chronic pain patients treated with spinal cord stimulation. , 2004, Gait & posture.
[74] Blake Hannaford,et al. A Hybrid Discriminative/Generative Approach for Modeling Human Activities , 2005, IJCAI.
[75] J Y Goulermas,et al. Regression techniques for the prediction of lower limb kinematics. , 2005, Journal of biomechanical engineering.
[76] Kristof Van Laerhoven,et al. Spine versus porcupine: a study in distributed wearable activity recognition , 2004, Eighth International Symposium on Wearable Computers.
[77] J. Ross Quinlan,et al. Improved Use of Continuous Attributes in C4.5 , 1996, J. Artif. Intell. Res..
[78] W. Ondo,et al. Ambulatory monitoring of freezing of gait in Parkinson's disease , 2008, Journal of Neuroscience Methods.
[79] K Aminian,et al. Incline, speed, and distance assessment during unconstrained walking. , 1995, Medicine and science in sports and exercise.
[80] Oliver J. Woodman,et al. An introduction to inertial navigation , 2007 .
[81] Schmidtke Hedda,et al. Change of Orientation , 2003 .
[82] A. Nguyen,et al. Unsupervised Clustering of Free-Living Human Activities using Ambulatory Accelerometry , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[83] A. Hof,et al. Assessment of spatio-temporal gait parameters from trunk accelerations during human walking. , 2003, Gait & posture.
[84] Christopher J. Bishop,et al. Pulsed Neural Networks , 1998 .
[85] M. N. Nyan,et al. Classification of gait patterns in the time-frequency domain. , 2006, Journal of biomechanics.
[86] J. Bussmann,et al. Quantification of physical activities by means of ambulatory accelerometry: a validation study. , 1998, Psychophysiology.
[87] A. Bourke,et al. A threshold-based fall-detection algorithm using a bi-axial gyroscope sensor. , 2008, Medical engineering & physics.
[88] J. Kent‐Braun,et al. Quantitation of lower physical activity in persons with multiple sclerosis. , 1997, Medicine and science in sports and exercise.
[89] Nigel H. Lovell,et al. Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring , 2006, IEEE Transactions on Information Technology in Biomedicine.
[90] Kamiar Aminian,et al. Spatio-temporal parameters of gait measured by an ambulatory system using miniature gyroscopes. , 2002, Journal of biomechanics.
[91] Kuan Zhang,et al. Assessment of human locomotion by using an insole measurement system and artificial neural networks. , 2005, Journal of biomechanics.
[92] S. Blair,et al. Health promotion for educators: impact on health behaviors, satisfaction, and general well-being. , 1984, American journal of public health.
[93] Liang Xu,et al. Using Wearable Sensor and NMF Algorithm to Realize Ambulatory Fall Detection , 2006, ICNC.
[94] Maxim A. Batalin,et al. Incremental Diagnosis Method for Intelligent Wearable Sensor Systems , 2007, IEEE Transactions on Information Technology in Biomedicine.
[95] Paul Lukowicz,et al. Recognizing Workshop Activity Using Body Worn Microphones and Accelerometers , 2004, Pervasive.
[96] HyungDal Park,et al. A study on the activity classification using a triaxial accelerometer , 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).
[97] A K Bourke,et al. Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm. , 2007, Gait & posture.
[98] T Togawa,et al. Classification of waist-acceleration signals in a continuous walking record. , 2000, Medical engineering & physics.
[99] T Chau,et al. A review of analytical techniques for gait data. Part 1: Fuzzy, statistical and fractal methods. , 2001, Gait & posture.
[100] J. Manson,et al. Physical activity and incidence of non-insulin-dependent diabetes mellitus in women , 1991, The Lancet.
[101] 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).
[102] G. ÓLaighin,et al. Direct measurement of human movement by accelerometry. , 2008, Medical engineering & physics.
[103] Tong Zhang,et al. Fall Detection by Embedding an Accelerometer in Cellphone and Using KFD Algorithm , 2006 .
[104] S. Griffin,et al. Effectiveness of interventions to promote physical activity in children and adolescents: systematic review of controlled trials , 2009 .
[105] B E Ainsworth,et al. Validity and reliability of self-reported physical activity status: the Lipid Research Clinics questionnaire. , 1993, Medicine and science in sports and exercise.
[106] Kamiar Aminian,et al. Ambulatory system for human motion analysis using a kinematic sensor: monitoring of daily physical activity in the elderly , 2003, IEEE Transactions on Biomedical Engineering.
[107] A. Bourke,et al. The identification of vertical velocity profiles using an inertial sensor to investigate pre-impact detection of falls. , 2008, Medical Engineering and Physics.
[108] Kamiar Aminian,et al. Stair climbing detection during daily physical activity using a miniature gyroscope. , 2005, Gait & posture.
[109] Nello Cristianini,et al. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .
[110] T Togawa,et al. Classification of acceleration waveforms during walking by wavelet transform. , 1997, Methods of information in medicine.
[111] R. Dunnewold,et al. Quantitative assessment of bradykinesia in patients with parkinson's disease , 1997, Journal of Neuroscience Methods.
[112] Anthony Rowe,et al. Location and Activity Recognition Using eWatch: A Wearable Sensor Platform , 2006, Ambient Intelligence in Everyday.
[113] Heekuck Oh,et al. Neural Networks for Pattern Recognition , 1993, Adv. Comput..
[114] Paul Lukowicz,et al. Activity Recognition of Assembly Tasks Using Body-Worn Microphones and Accelerometers , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[115] Wiebren Zijlstra,et al. Assessment of spatio-temporal parameters during unconstrained walking , 2004, European Journal of Applied Physiology.
[116] Kristof Van Laerhoven,et al. Long term activity monitoring with a wearable sensor node , 2006, International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06).
[117] M Makikawa,et al. Ambulatory behavior map, physical activity and biosignal monitoring system. , 1997, Methods of information in medicine.
[118] M. Mathie,et al. Detection of daily physical activities using a triaxial accelerometer , 2003, Medical and Biological Engineering and Computing.
[119] Friedrich Foerster,et al. Detection of posture and motion by accelerometry : a validation study in ambulatory monitoring , 1999 .
[120] Patrick Boissy,et al. User-based motion sensing and fuzzy logic for automated fall detection in older adults. , 2007, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.
[121] T Chau,et al. A review of analytical techniques for gait data. Part 2: neural network and wavelet methods. , 2001, Gait & posture.
[122] R B Stein,et al. Application of tilt sensors in functional electrical stimulation. , 1996, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[123] Merryn J Mathie,et al. Accelerometry: providing an integrated, practical method for long-term, ambulatory monitoring of human movement , 2004, Physiological measurement.
[124] J. D. Janssen,et al. A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity , 1997, IEEE Transactions on Biomedical Engineering.
[125] Donald F. Specht,et al. Probabilistic neural networks , 1990, Neural Networks.
[126] R. Bajcsy,et al. Wearable Sensors for Reliable Fall Detection , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.
[127] David Garlan,et al. Context is key , 2005, CACM.
[128] Paul Lukowicz,et al. Experimental Evaluation of Variations in Primary Features Used for Accelerometric Context Recognition , 2003, EUSAI.
[129] Andreas Krause,et al. Trading off prediction accuracy and power consumption for context-aware wearable computing , 2005, Ninth IEEE International Symposium on Wearable Computers (ISWC'05).
[130] Lindsey Dugdill,et al. Physical activity and health promotion: evidence-based approaches to practice , 2009 .
[131] Heinz Jäckel,et al. SPEEDY:a fall detector in a wrist watch , 2003, Seventh IEEE International Symposium on Wearable Computers, 2003. Proceedings..
[132] Xiao-Jun Zeng,et al. An Instance-Based Algorithm With Auxiliary Similarity Information for the Estimation of Gait Kinematics From Wearable Sensors , 2008, IEEE Transactions on Neural Networks.
[133] Dennis M. Healy,et al. Wavelet transform domain filters: a spatially selective noise filtration technique , 1994, IEEE Trans. Image Process..
[134] Peter H. Veltink,et al. Ambulatory measurement of ground reaction forces , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[135] Eliathamby Ambikairajah,et al. Classification of a known sequence of motions and postures from accelerometry data using adapted Gaussian mixture models. , 2006, Physiological measurement.
[136] D. Bassett,et al. The technology of accelerometry-based activity monitors: current and future. , 2005, Medicine and science in sports and exercise.
[137] P. Veltink,et al. Ambulatory measurement of ground reaction forces , 2005 .
[138] P. Veltink,et al. Validity and reliability of measurements obtained with an "activity monitor" in people with and without a transtibial amputation. , 1998, Physical therapy.
[139] Albrecht Schmidt,et al. Multi-sensor Activity Context Detection for Wearable Computing , 2003, EUSAI.
[140] Ilkka Korhonen,et al. Detection of Daily Activities and Sports With Wearable Sensors in Controlled and Uncontrolled Conditions , 2008, IEEE Transactions on Information Technology in Biomedicine.