A Review of Accelerometer-Based Physical Activity Measurement

Accelerometers are being increasingly used in studies of physical activity (PA) under a variety of circumstances, especially free-living environment. They can be used to assess a range of different aspects of PA, including energy expenditure, activity classification, gait, balance and fall. This paper reviews the use of accelerometers in these areas, along with the basic knowledge of accelerometers, preparatory work before data processing and the comparison of commonly-used products. The work of this review can provide a basis of accelerometer-used PA measurement and a contribution to further research and design.

[1]  D R Bassett,et al.  A new 2-regression model for the Actical accelerometer , 2007, British Journal of Sports Medicine.

[2]  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).

[3]  G Plasqui,et al.  Improving assessment of daily energy expenditure by identifying types of physical activity with a single accelerometer. , 2009, Journal of applied physiology.

[4]  Leena Choi,et al.  Validity of Physical Activity Intensity Predictions by ActiGraph, Actical, and RT3 Accelerometers , 2008, Obesity.

[5]  Scott E Crouter,et al.  Refined two-regression model for the ActiGraph accelerometer. , 2010, Medicine and science in sports and exercise.

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

[7]  T. Szturm,et al.  Estimation of 2-D Center of Mass Movement During Trunk Flexion–Extension Movements Using Body Accelerations , 2009, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[8]  D. Bassett,et al.  The technology of accelerometry-based activity monitors: current and future. , 2005, Medicine and science in sports and exercise.

[9]  Zahra Moussavi,et al.  Center of mass approximation and prediction as a function of body acceleration , 2006, IEEE Transactions on Biomedical Engineering.

[10]  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.

[11]  Blake Hannaford,et al.  A Hybrid Discriminative/Generative Approach for Modeling Human Activities , 2005, IJCAI.

[12]  Johannes Peltola,et al.  Activity classification using realistic data from wearable sensors , 2006, IEEE Transactions on Information Technology in Biomedicine.

[13]  Sang-Hyun Cho,et al.  Wearable Accelerometer System for Measuring the Temporal Parameters of Gait , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[14]  S. Yoo,et al.  Physical Activity Recognition Using a Single Tri-Axis Accelerometer , 2009 .

[15]  B. G. Celler,et al.  Classification of basic daily movements using a triaxial accelerometer , 2004, Medical and Biological Engineering and Computing.

[16]  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.

[17]  Xi Long,et al.  Single-accelerometer-based daily physical activity classification , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[18]  M. Mathie,et al.  of the 23 rd Annual EMBS International Conference , October 25-28 , Istanbul , Turkey A SYSTEM FOR MONITORING POSTURE AND PHYSICAL ACTIVITY USING ACCELEROMETERS , 2004 .

[19]  B. Ainsworth,et al.  Estimation of energy expenditure using CSA accelerometers at hip and wrist sites. , 2000, Medicine and science in sports and exercise.

[20]  Seon-Woo Lee,et al.  Detection of Spatio-Temporal Gait Parameters by Using Wearable Motion Sensors , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[21]  Tae-Seong Kim,et al.  A Triaxial Accelerometer-Based Physical-Activity Recognition via Augmented-Signal Features and a Hierarchical Recognizer , 2010, IEEE Transactions on Information Technology in Biomedicine.

[22]  Patty S. Freedson,et al.  A comprehensive evaluation of commonly used accelerometer energy expenditure and MET prediction equations , 2011, European Journal of Applied Physiology.

[23]  Yeh-Liang Hsu,et al.  A Review of Accelerometry-Based Wearable Motion Detectors for Physical Activity Monitoring , 2010, Sensors.

[24]  M Sun,et al.  A method for measuring mechanical work and work efficiency during human activities. , 1993, Journal of biomechanics.

[25]  C. Patten,et al.  An Accelerometry-Based System for the Assessment of Balance and Postural Sway , 1997, Gerontology.

[26]  W. van Mechelen,et al.  Clinimetric review of motion sensors in children and adolescents. , 2006, Journal of clinical epidemiology.

[27]  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.

[28]  Robert LeMoyne,et al.  Implementation of an iPhone as a wireless accelerometer for quantifying gait characteristics , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

[29]  Tao Liu,et al.  Novel approach for lower limb segment orientation in gait analysis using triaxial accelerometers , 2008, 2008 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.

[30]  Paul Lukowicz,et al.  Recognizing and Discovering Human Actions from On-Body Sensor Data , 2005, 2005 IEEE International Conference on Multimedia and Expo.

[31]  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.

[32]  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.

[33]  Thierry Troosters,et al.  How to assess physical activity? How to assess physical fitness? , 2005, European journal of cardiovascular prevention and rehabilitation : official journal of the European Society of Cardiology, Working Groups on Epidemiology & Prevention and Cardiac Rehabilitation and Exercise Physiology.

[34]  N. Leenders,et al.  Ability of Different Physical Activity Monitors to Detect Movement During Treadmill Walking , 2003, International journal of sports medicine.

[35]  M. Verduin,et al.  Effects of placement and orientation of body-fixed accelerometers on the assessment of energy expenditure during walking , 2006, Medical and Biological Engineering and Computing.

[36]  Friedrich Foerster,et al.  Detection of posture and motion by accelerometry : a validation study in ambulatory monitoring , 1999 .

[37]  Li-Shan Chou,et al.  Neural network estimation of balance control during locomotion. , 2005, Journal of biomechanics.

[38]  Reinhold Haux,et al.  Assessing elderly persons' fall risk using spectral analysis on accelerometric data - a clinical evaluation study , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[39]  A. Goris,et al.  Detection of type, duration, and intensity of physical activity using an accelerometer. , 2009, Medicine and science in sports and exercise.

[40]  Susan L Murphy,et al.  Review of physical activity measurement using accelerometers in older adults: considerations for research design and conduct. , 2009, Preventive medicine.

[41]  Maarit Kangas,et al.  Comparison of low-complexity fall detection algorithms for body attached accelerometers. , 2008, Gait & posture.

[42]  E. Ambikairajah,et al.  Time-Frequency Based Features for Classification of Walking Patterns , 2007, 2007 15th International Conference on Digital Signal Processing.

[43]  Nigel H. Lovell,et al.  Determining activity using a triaxial accelerometer , 2002, Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology.

[44]  Wiebren Zijlstra,et al.  Assessment of spatio-temporal parameters during unconstrained walking , 2004, European Journal of Applied Physiology.

[45]  D. Giansanti.  Investigation of fall-risk using a wearable device with accelerometers and rate gyroscopes , 2006, Physiological measurement.

[46]  Aurelio Cappozzo,et al.  Is it feasible to reconstruct body segment 3-D position and orientation using accelerometric data? , 2003, IEEE Transactions on Biomedical Engineering.

[47]  U. Ekelund,et al.  Branched equation modeling of simultaneous accelerometry and heart rate monitoring improves estimate of directly measured physical activity energy expenditure. , 2004, Journal of applied physiology.

[48]  Ulf Ekelund,et al.  Novel daily energy expenditure estimation by using objective activity type classification: where do we go from here? , 2009, Journal of applied physiology.

[49]  C. Caspersen,et al.  Physical activity, exercise, and physical fitness: definitions and distinctions for health-related research. , 1985, Public health reports.

[50]  Gerard Boyle,et al.  Correlation of accelerometry with clinical balance tests in older fallers and non-fallers. , 2008, Age and ageing.

[51]  John Staudenmayer,et al.  An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometer. , 2009, Journal of applied physiology.

[52]  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.

[53]  K. Westerterp,et al.  Physical Activity Assessment With Accelerometers: An Evaluation Against Doubly Labeled Water , 2007, Obesity.

[54]  T Togawa,et al.  Classification of waist-acceleration signals in a continuous walking record. , 2000, Medical engineering & physics.

[55]  P S Freedson,et al.  Calibration of the Computer Science and Applications, Inc. accelerometer. , 1998, Medicine and science in sports and exercise.

[56]  Scott E Crouter,et al.  A novel method for using accelerometer data to predict energy expenditure. , 2006, Journal of applied physiology.

[57]  I. Zakeri,et al.  Application of cross-sectional time series modeling for the prediction of energy expenditure from heart rate and accelerometry. , 2008, Journal of applied physiology.

[58]  C. Bouchard,et al.  Physical Activity and Health , 2006 .

[59]  Michael L. Littman,et al.  Activity Recognition from Accelerometer Data , 2005, AAAI.

[60]  G. Williams,et al.  A smart fall and activity monitor for telecare applications , 1998, Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286).

[61]  Gregory J Welk,et al.  Principles of design and analyses for the calibration of accelerometry-based activity monitors. , 2005, Medicine and science in sports and exercise.

[62]  Wiebren Zijlstra,et al.  Accelerometry based assessment of gait parameters in children. , 2006, Gait & posture.

[63]  Daniele Giansanti,et al.  Assessment of fall-risk by means of a neural network based on parameters assessed by a wearable device during posturography. , 2008, Medical engineering & physics.

[64]  J. Staudenmayer,et al.  Development of novel techniques to classify physical activity mode using accelerometers. , 2006, Medicine and science in sports and exercise.

[65]  A McIntosh,et al.  The design of a practical and reliable fall detector for community and institutional telecare , 2000, Journal of telemedicine and telecare.

[66]  D. Heil.  Predicting Activity Energy Expenditure Using the Actical® Activity Monitor , 2006, Research quarterly for exercise and sport.

[67]  Jian Liu,et al.  Local Dynamic Stability Assessment of Motion Impaired Elderly Using Electronic Textile Pants , 2008, IEEE Transactions on Automation Science and Engineering.

[68]  Qingguo Li,et al.  Walking speed estimation using shank-mounted accelerometers , 2010, 2010 IEEE International Conference on Robotics and Automation.

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

[70]  Heinz Jäckel,et al.  SPEEDY:a fall detector in a wrist watch , 2003, Seventh IEEE International Symposium on Wearable Computers, 2003. Proceedings..

[71]  Eliathamby Ambikairajah,et al.  Classification of a known sequence of motions and postures from accelerometry data using adapted Gaussian mixture models. , 2006, Physiological measurement.

[72]  Kenneth R Fox,et al.  Physical activity patterns assessed by accelerometry in older people , 2007, European Journal of Applied Physiology.

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

[74]  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.

[75]  W L Haskell,et al.  Methodologic issues in measuring physical activity and physical fitness when evaluating the role of dietary supplements for physically active people. , 2000, The American journal of clinical nutrition.

[76]  J. D. Janssen,et al.  Assessment of energy expenditure for physical activity using a triaxial accelerometer. , 1994, Medicine and science in sports and exercise.

[77]  Alberto G Bonomi,et al.  Estimation of Free‐Living Energy Expenditure Using a Novel Activity Monitor Designed to Minimize Obtrusiveness , 2010, Obesity.

[78]  Simon M. Gunn,et al.  Predicting walking METs and energy expenditure from speed or accelerometry. , 2005, Medicine and science in sports and exercise.

[79]  R. Pate,et al.  Physical Activity Assessment in Children and Adolescents , 2001, Sports medicine.

[80]  Ling Bao,et al.  Activity Recognition from User-Annotated Acceleration Data , 2004, Pervasive.

[81]  D. Heil,et al.  VALIDATION OF ENERGY EXPENDITURE PREDICTION ALGORITHMS IN ADULTS USING THE ACTICAL ELECTRONIC ACTIVITY MONITOR , 2003 .

[82]  Reinhold Haux,et al.  A clinical study to assess fall risk using a single waist accelerometer , 2009, Informatics for health & social care.

[83]  D A Schoeller,et al.  Measurement of energy expenditure in free-living humans by using doubly labeled water. , 1988, The Journal of nutrition.

[84]  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).

[85]  C. N. Scanaill,et al.  A Review of Approaches to Mobility Telemonitoring of the Elderly in Their Living Environment , 2006, Annals of Biomedical Engineering.