A Symbolic Approach to Human Motion Analysis Using Inertial Sensors : Framework and Gait Analysis Study

Motion analysis deals with determining what and how activities are being performed by a subject, through the use of sensors. The process of answering the what question is commonly known as classifi ...

[1]  Satoshi Sekine,et al.  A survey of named entity recognition and classification , 2007 .

[2]  Josip Musić,et al.  Testing inertial sensor performance as hands-free human-computer interface , 2009 .

[3]  Kara K Patterson,et al.  Association Between Gait Asymmetry and Brain Lesion Location in Stroke Patients , 2009, Stroke.

[4]  John F. Roddick,et al.  ARMADA - An algorithm for discovering richer relative temporal association rules from interval-based data , 2007, Data Knowl. Eng..

[5]  Hermie Hermens,et al.  Standing balance evaluation using a triaxial accelerometer. , 2002, Gait & posture.

[6]  Pascal Fua,et al.  Estimation and visualization of sagittal kinematics of lower limbs orientation using body-fixed sensors , 2006, IEEE Transactions on Biomedical Engineering.

[7]  Huosheng Hu,et al.  Integration of Vision and Inertial Sensors for 3D Arm Motion Tracking in Home-based Rehabilitation , 2007, Int. J. Robotics Res..

[8]  Jorge Lobo,et al.  Distributed Accelerometers for Gesture Recognition and Visualization , 2011, DoCEIS.

[9]  Jeffrey M. Hausdorff,et al.  Gait asymmetry in patients with Parkinson’s disease and elderly fallers: when does the bilateral coordination of gait require attention? , 2007, Experimental Brain Research.

[10]  Jessica K. Hodgins,et al.  Aligned Cluster Analysis for temporal segmentation of human motion , 2008, 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition.

[11]  C. V. Negoiţă,et al.  Expert systems and fuzzy systems , 1985 .

[12]  Billur Barshan,et al.  Comparative study on classifying human activities with miniature inertial and magnetic sensors , 2010, Pattern Recognit..

[13]  James G Richards,et al.  A method for analyzing joint symmetry and normalcy, with an application to analyzing gait. , 2006, Gait & posture.

[14]  Gaetano Borriello,et al.  A Practical Approach to Recognizing Physical Activities , 2006, Pervasive.

[15]  Shigeki Sagayama,et al.  Dynamic Time-Alignment Kernel in Support Vector Machine , 2001, NIPS.

[16]  Shuwan Xue,et al.  Portable Preimpact Fall Detector With Inertial Sensors , 2008, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[17]  Hongyin Lau,et al.  The reliability of using accelerometer and gyroscope for gait event identification on persons with dropped foot. , 2008, Gait & posture.

[18]  Hans-Hermann Bock,et al.  Analysis of Symbolic Data: Exploratory Methods for Extracting Statistical Information from Complex Data , 2000 .

[19]  Nicholas Wickström,et al.  Developing a motion language: Gait analysis from accelerometer sensor systems , 2009, 2009 3rd International Conference on Pervasive Computing Technologies for Healthcare.

[20]  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.

[21]  Jindong Tan,et al.  Real-time Daily Activity Classification with Wireless Sensor Networks using Hidden Markov Model , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[22]  Victor B. Zordan,et al.  Dynamic response for motion capture animation , 2005, SIGGRAPH '05.

[23]  S. M. N. Arosha Senanayake,et al.  Identifying gait asymmetry using gyroscopes--a cross-correlation and Normalized Symmetry Index approach. , 2011, Journal of biomechanics.

[24]  Olivier Beauchet,et al.  Gait analysis in demented subjects: Interests and perspectives , 2008, Neuropsychiatric disease and treatment.

[25]  J Y Goulermas,et al.  Predicting lower limb joint kinematics using wearable motion sensors. , 2008, Gait & posture.

[26]  Jeffrey M. Hausdorff,et al.  Marked alterations in the gait timing and rhythmicity of patients with de novo Parkinson's disease , 2006, The European journal of neuroscience.

[27]  Jeffrey M. Hausdorff,et al.  Effect of gait speed on gait rhythmicity in Parkinson's disease: variability of stride time and swing time respond differently , 2005, Journal of NeuroEngineering and Rehabilitation.

[28]  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.

[29]  Xiaoming Hu,et al.  Drift-free attitude estimation for accelerated rigid bodies , 2004, Autom..

[30]  Ian Jenkinson,et al.  Inference and learning methodology of belief-rule-based expert system for pipeline leak detection , 2007, Expert Syst. Appl..

[31]  John W Staudenmayer,et al.  Accelerometer prediction of energy expenditure: vector magnitude versus vertical axis. , 2009, Medicine and science in sports and exercise.

[32]  Thomas B. Moeslund,et al.  Action Recognition Using Motion Primitives and Probabilistic Edit Distance , 2006, AMDO.

[33]  Guang-Zhong Yang,et al.  Sensor Positioning for Activity Recognition Using Wearable Accelerometers , 2011, IEEE Transactions on Biomedical Circuits and Systems.

[34]  Yiannis Aloimonos,et al.  A Language for Human Action , 2007, Computer.

[35]  Paul Lukowicz,et al.  Activity Recognition of Assembly Tasks Using Body-Worn Microphones and Accelerometers , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[36]  Jorunn L Helbostad,et al.  Estimation of gait cycle characteristics by trunk accelerometry. , 2004, Journal of biomechanics.

[37]  Claus Bahlmann,et al.  Measuring HMM similarity with the Bayes probability of error and its application to online handwriting recognition , 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

[38]  Tom Chau,et al.  Managing variability in the summary and comparison of gait data , 2005, Journal of NeuroEngineering and Rehabilitation.

[39]  W. D’hoore,et al.  Patient empowerment in theory and practice: polysemy or cacophony? , 2007, Patient education and counseling.

[40]  I. Davis,et al.  The symmetry angle: a novel, robust method of quantifying asymmetry. , 2008, Gait & posture.

[41]  Walter A. Rocca,et al.  P4-118: Impairment in gait is associated with prevalent mild cognitive impairment , 2008, Alzheimer's & Dementia.

[42]  A J Verbout,et al.  Patient-reported outcome in total hip replacement. A comparison of five instruments of health status. , 2004, The Journal of bone and joint surgery. British volume.

[43]  Shu-Hsien Liao,et al.  Expert system methodologies and applications - a decade review from 1995 to 2004 , 2005, Expert Syst. Appl..

[44]  Xiaoming Hu,et al.  An Attitude Determination System Based on Adaptive Kalman Filter for Human Machine Interface , 2011, ICAIC.

[45]  Merryn J Mathie,et al.  Accelerometry: providing an integrated, practical method for long-term, ambulatory monitoring of human movement , 2004, Physiological measurement.

[46]  Sheldon R Simon,et al.  Quantification of human motion: gait analysis-benefits and limitations to its application to clinical problems. , 2004, Journal of biomechanics.

[47]  Kristin R. Archer,et al.  Gait Symmetry and Walking Speed Analysis Following Lower-Extremity Trauma , 2006, Physical Therapy.

[48]  Jeffrey M. Hausdorff,et al.  Is freezing of gait in Parkinson's disease related to asymmetric motor function? , 2005, Annals of neurology.

[49]  Kenneth Meijer,et al.  Activity identification using body-mounted sensors—a review of classification techniques , 2009, Physiological measurement.

[50]  Fabian Mörchen,et al.  Efficient mining of understandable patterns from multivariate interval time series , 2007, Data Mining and Knowledge Discovery.

[51]  Billur Barshan,et al.  Human activity classification with miniature inertial and magnetic sensors , 2011, 2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU).

[52]  Li Wei,et al.  Experiencing SAX: a novel symbolic representation of time series , 2007, Data Mining and Knowledge Discovery.

[53]  Wolfgang Faber,et al.  The DLV system for knowledge representation and reasoning , 2002, TOCL.

[54]  M. Batavia,et al.  The validity and reliability of the GAITRite system's measurements: A preliminary evaluation. , 2001, Archives of physical medicine and rehabilitation.

[55]  Nir Giladi,et al.  Impaired regulation of stride variability in Parkinson's disease subjects with freezing of gait , 2003, Experimental Brain Research.

[56]  Weiguo Fan,et al.  Discovery of context-specific ranking functions for effective information retrieval using genetic programming , 2004, IEEE Transactions on Knowledge and Data Engineering.

[57]  J. Allum,et al.  A speedy solution for balance and gait analysis: angular velocity measured at the centre of body mass , 2005, Current opinion in neurology.

[58]  Andrew J. Petruska,et al.  Non-drifting limb angle measurement relative to the gravitational vector during dynamic motions using accelerometers and rate gyros , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[59]  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.

[60]  Kuan Zhang,et al.  Assessment of human locomotion by using an insole measurement system and artificial neural networks. , 2005, Journal of biomechanics.

[61]  Yasin Y. Dhaher,et al.  Evidence of Abnormal Lower-Limb Torque Coupling After Stroke: An Isometric Study , 2008, Stroke.

[62]  Michael H Schwartz,et al.  Movement deviation profile: a measure of distance from normality using a self-organizing neural network. , 2012, Human movement science.

[63]  Bernhard Schölkopf,et al.  Nonlinear Component Analysis as a Kernel Eigenvalue Problem , 1998, Neural Computation.

[64]  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.

[65]  Kwong-Sak Leung,et al.  Data Mining on DNA Sequences of Hepatitis B Virus , 2011, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

[66]  B. Dobkin,et al.  Reliability and Validity of Bilateral Thigh and Foot Accelerometry Measures of Walking in Healthy and Hemiparetic Subjects , 2006, Neurorehabilitation and neural repair.

[67]  L. Schutte,et al.  An index for quantifying deviations from normal gait. , 2000, Gait & posture.

[68]  Wai-Yin Wong,et al.  Trunk posture monitoring with inertial sensors , 2008, European Spine Journal.

[69]  Laura Rocchi,et al.  Gait symmetry and regularity in transfemoral amputees assessed by trunk accelerations , 2010, Journal of NeuroEngineering and Rehabilitation.

[70]  P Haggard,et al.  Interference between gait and cognitive tasks in a rehabilitating neurological population , 2000, Journal of neurology, neurosurgery, and psychiatry.

[71]  Juan-Luis Gorricho,et al.  Activity Recognition from Accelerometer Data on a Mobile Phone , 2009, IWANN.

[72]  Stacy J. Morris Bamberg,et al.  Towards Low - Cost Mems Imu Gait Analysis: Improvements Using Calibration and State Estimation , 2013 .

[73]  Fabian Mörchen,et al.  Optimizing time series discretization for knowledge discovery , 2005, KDD '05.

[74]  Kara K. Patterson,et al.  Evaluation of gait symmetry after stroke: a comparison of current methods and recommendations for standardization. , 2010, Gait & posture.

[75]  Adrian Burns,et al.  An adaptive gyroscope-based algorithm for temporal gait analysis , 2010, Medical & Biological Engineering & Computing.

[76]  Jeffrey M. Hausdorff,et al.  Increased gait unsteadiness in community-dwelling elderly fallers. , 1997, Archives of physical medicine and rehabilitation.

[77]  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..

[78]  Bart Jansen,et al.  Reliability and clinical correlates of 3D-accelerometry based gait analysis outcomes according to age and fall-risk. , 2011, Gait & posture.

[79]  C. Sierra,et al.  A new approach to connective generation in the framework of expert systems using fuzzy logic , 1988, [1988] Proceedings. The Eighteenth International Symposium on Multiple-Valued Logic.

[80]  C. Finney,et al.  A review of symbolic analysis of experimental data , 2003 .

[81]  Catherine Dehollain,et al.  Gait assessment in Parkinson's disease: toward an ambulatory system for long-term monitoring , 2004, IEEE Transactions on Biomedical Engineering.

[82]  James J Carollo,et al.  The role of gait analysis in treating gait abnormalities in cerebral palsy. , 2010, The Orthopedic clinics of North America.

[83]  Shanshan Chen,et al.  Extracting Spatio-Temporal Information from Inertial Body Sensor Networks for Gait Speed Estimation , 2011, 2011 International Conference on Body Sensor Networks.

[84]  J Hausdroff.  Gait variability : methods, modeling and meaning , 2005 .

[85]  B M Jolles,et al.  Evaluation of a mixed approach combining stationary and wearable systems to monitor gait over long distance. , 2010, Journal of biomechanics.

[86]  J. Mant.  Process versus outcome indicators in the assessment of quality of health care. , 2001, International journal for quality in health care : journal of the International Society for Quality in Health Care.

[87]  Misha Pavel,et al.  Unobtrusive and Ubiquitous In-Home Monitoring: A Methodology for Continuous Assessment of Gait Velocity in Elders , 2010, IEEE Transactions on Biomedical Engineering.

[88]  K. Meijer,et al.  Acceleration-based gait test for healthy subjects: reliability and reference data. , 2009, Gait & posture.

[89]  R. A. Leibler,et al.  On Information and Sufficiency , 1951 .

[90]  B. Conrad,et al.  Kinematic properties of slow arm movements in Parkinson's disease , 1994, Journal of Neurology.

[91]  Fuyuan Liao,et al.  Multi-resolution entropy analysis of gait symmetry in neurological degenerative diseases and amyotrophic lateral sclerosis. , 2008, Medical engineering & physics.

[92]  Paul Lukowicz,et al.  Gesture spotting with body-worn inertial sensors to detect user activities , 2008, Pattern Recognit..