Publications

1,589 peer-reviewed studies and conference papers whose research used an Axivity accelerometer.

Publications per year, 2009–2026 Compiled from Europe PMC and OpenAlex, then screened against one criterion: the study used the device to collect data, or evaluated one as an instrument. Screening is automatic and the method, and what it could not resolve, is published. If your study belongs here, let us know.

1,589 publications

2016

  1. Accelerometer-based gait assessment: Pragmatic deployment on an international scale

    Silvia Del Din, Aodhán Hickey, Simon Woodman, et al.

    2016 PDF

  2. Accuracy and re-test reliability of mobile eye-tracking in Parkinson's disease and older adults

    Stuart, S., Alcock, et al.

    2016 Medical engineering & physics 38.3 (2016)

  3. An investigation of the orthogonal outputs from an on-rotor MEMS accelerometer for reciprocating compressor condition monitoring

    Guojin Feng, Niaoqing Hu, Zainab Mones, et al.

    2016 Mechanical Systems and Signal Processing PDF

  4. Body-worn sensors in Parkinson's disease: evaluating their acceptability to patients

    Fisher JM, Hammerla NY, Rochester L, et al.

    2016 Telemedicine and e-Health (2016)

  5. Comparison of tri-axial accelerometers step-count accuracy in slow walking conditions

    Yuanyuan Feng, Christopher Kevin Wong, Vandana P. Janeja, et al.

    2016 Gait & Posture

  6. Detecting free-living steps and walking bouts: validating an algorithm for macro gait analysis

    Hickey, A., Del Din, et al.

    2016 Physiological Measurement 38.1 (2016)

  7. Detection of physical activity types with accelerometers in adolescents during semi-structured free-living

    Bårdstu, H.B.

    2016 Duo Research Archive (University of Oslo) PDF

  8. Effect of Communicating Phenotypic and Genetic Risk of Coronary Heart Disease Alongside Web-based Lifestyle Advice-The Inform Randomized Clinical

    Silarova, B., Sharp, et al.

    2016 Circulation. Epidemiology, population & big data (2016)

  9. Evaluating Input Devices for Dance Research

    Mari Romarheim Haugen, Kristian Nymoen

    2016 Lecture notes in computer science

  10. Free-living gait characteristics in ageing and Parkinson's disease: impact of environment and ambulatory bout length

    Del Din, S., Godfrey, et al.

    2016 Journal of neuroengineering and rehabilitation 13.1 (2016)

  11. Free-living monitoring of Parkinson's disease: Lessons from the field

    Del Din, S., Godfrey, et al.

    2016 Movement Disorders 31.9 (2016)

  12. Human Activity Recognition With Two Body-Worn Accelerometer Sensors

    Hessen, H.O. and Tessem, A.J.

    2016 Master's thesis, NTNU (2016)

  13. Investigation of energy expenditure during walking in children with cerebral palsy and typically developing children using raw acceleration data

    Maalen-Johansen, I.K.

    2016 BIBSYS Brage (BIBSYS (Norway)) PDF

  14. Measuring gait with an accelerometer-based wearable: influence of device location, testing protocol and age

    Del Din, S., Hickey, et al.

    2016 Physiological Measurement 37.10 (2016)

  15. Music, Mind, and Embodiment

    Ystad, Sølvi, Aramaki, et al.

    2016 Lecture notes in computer science

  16. Optical or Inertial? Evaluation of Two Motion Capture Systems for Studies of Dancing to Electronic Dance Music

    Solberg, R.T. and Jensenius, A.R.

    2016 Proceedings of the SMC Conferences (2016)

  17. Pilot Randomised Controlled Trial of a Web-Based Intervention to Promote Healthy Eating, Physical Activity and Meaningful Social Connections Compared with Usual Care Control in People of Retirement Age Recruited from Workplaces

    José Lara, Nicola O’Brien, Alan Godfrey, et al.

    2016 PLoS ONE PDF

  18. Porcine lie detectors: Automatic quantification of posture state and transitions in sows using inertial sensors

    Thompson, R., Matheson, et al.

    2016 Computers and Electronics in Agriculture 127 (2016)

  19. Remote Actigraphy for Quantitative Assessment of Walking Speed in People with MS

    Supratak, A., Datta, et al.

    2016 Neurology 86.16 Supplement (2016)

  20. SELFBACK—Activity Recognition for Self-management of Low Back Pain

    Sani, S., Wiratunga, et al.

    2016 Research and Development in Intelligent Systems XXXIII: Incorporating Applications and Innovations in Intelligent Systems XXIV (2016)

  21. Sensing Technologies for Autism Spectrum Disorder Screening and Intervention

    Cabibihan, J.J., Javed, et al.

    2016 Sensors 17.1 (2016)

  22. Step Counting: A Review of Measurement Considerations and Health-Related Applications

    Bassett, D.R., Toth, et al.

    2016 Sports Medicine (2016)

  23. The novel use of a SenseCam and accelerometer to validate training load and training information in a self-recall training diary

    O. Connor, S., McCaffrey, et al.

    2016 Journal of sports sciences 34.4 (2016)

  24. The Use of a Cap-mounted Tri-axial Accelerometer for Measurement of Distance, Lap Times and Stroke Rates in Swim Training

    Scott Michaels, D.J. Taunton, Alexander I. J. Forrester, et al.

    2016 Procedia Engineering

  25. Unsupervised home monitoring of Parkinson's disease motor symptoms using body-worn accelerometers

    Fisher, J.M., Hammerla, et al.

    2016 Parkinsonism & Related Disorders 33 (2016)

  26. Using Accelerometers in the Neurological ICU to Monitor Unilaterally Motor Impaired Patients

    LaBuzetta, J., Hermiz, et al.

    2016 Neurology 86.16 Supplement (2016)

  27. Using Accelerometers in the Neurological ICU to Monitor Unilaterally Motor Impaired Patients (P3.204)

    Jamie Nicole LaBuzetta, John Hermiz, Vikash Gilja, et al.

    2016 Neurology

  28. Validation of algorithms for physical activity type detection in children using raw acceleration data

    Ustad, A.

    2016 BIBSYS Brage (BIBSYS (Norway)) PDF

  29. Validation of an accelerometer to quantify a comprehensive battery of gait characteristics in healthy older adults and Parkinson's disease: toward clinical and at home use

    Del Din, S., Godfrey, et al.

    2016 IEEE journal of biomedical and health informatics 20.3 (2016)

  30. Validation of the AX3 accelerometer for detection of common daily activties and postures

    Kongsvold, A.M.

    2016 BIBSYS Brage (BIBSYS (Norway)) PDF

  31. Validation of the AX3 triaxial accelerometer in older functionally impaired people

    Clare Clarke, J Taylor, Linda J. Crighton, et al.

    2016 Aging Clinical and Experimental Research PDF

  32. Validity of a wearable accelerometer to quantify gait in spinocerebellar ataxia type 6

    Hickey, A., Gunn, et al.

    2016 Physiological Measurement 37.11 (2016)

  33. Vision, visuo-cognition and postural control in Parkinson's disease: An associative pilot study

    Hill, E., Stuart, et al.

    2016 Gait & Posture 48 (2016)

  34. Wristband Accelerometers to motiVate arm Exercise after Stroke (WAVES): study protocol for a pilot randomized controlled trial

    Moore, S.A., Da Silva, et al.

    2016 Trials 17.1 (2016)

2015

  1. Accelerometer based free-living data: does macro gait behaviour differ between fallers and non-fallers with and without Parkinson's disease?

    Silvia Del Din, Alan Godfrey, Brook Galna, et al.

    2015 2015 ISPGR World Congress, At Seville

  2. Assessing arthroscopic skills using wireless elbow-worn motion sensors

    Kirby, G.S., Guyver, et al.

    2015 J Bone Joint Surg Am 97.13 (2015)

  3. Assessment of Algorithm Performance During Variation of Sensor Location and Protocol

    N. Hurwitz et al

    2015 4th International Conference on Ambulatory Monitoring of Physical Activity and Movement (ICAMPAM), At University of Limerick

  4. Balance and coordination after viewing stereoscopic 3D television

    Read, J.C., Simonotto, et al.

    2015 Royal Society open science 2.7 (2015)

  5. Comparison of hip and low back worn Axivity AX3 and GT3X+ activity monitors

    Jan Christian Brønd, Daniel Arvidsson, Niels Christian Møller

    2015 University of Southern Denmark Research Portal (University of Southern Denmark)

  6. Effect of Wavelet and Scale on Accelerometer-Based Postural Transition Detection

    A. Hickey et al

    2015 4th International Conference on Ambulatory Monitoring of Physical Activity and Movement (ICAMPAM), At University of Limerick, Ireland

  7. iCap: Instrumented assessment of physical capability

    Alan Godfrey, José Lara, Silvia Del Din, et al.

    2015 Maturitas PDF

  8. Information and Risk Modification Trial (INFORM): design of a randomised controlled trial of communicating different types of information about coronary heart disease risk, alongside lifestyle advice, to achieve change in health-related behaviour

    Barbora Šilarova, Joanne Lucas, Adam S. Butterworth, et al.

    2015 BMC Public Health PDF

  9. Instrumented assessment of test battery for physical capability using an accelerometer: a feasibility study

    Alan Godfrey, José Lara, C. Alexandra Munro, et al.

    2015 Physiological Measurement PDF

  10. Instrumenting gait with an accelerometer: a system and algorithm examination

    Godfrey, A., Del Din, et al.

    2015 Medical engineering & physics 37.4 (2015)

  11. Movement recognition technology as a method of assessing spontaneous general movements in high risk infants.

    Claire Marcroft et al.

    2015 Front. Neurol. 5:284. 2015

  12. Preliminary comparative study of two accelerometers performances for evaluation of dorsoventral movement in trotting horse

    Brouillet, N., Jarlot, et al.

    2015 Computer Methods in Biomechanics and Biomedical Engineering 18.sup1 (2015)

  13. The Horsens-Aarhus Femoro Acetabular Impingement (HAFAI) cohort: outcome of arthroscopic treatment for femoroacetabular impingement. Protocol for a prospective cohort study.

    Kierkegaard, S., Lund, et al.

    2015 BMJ open 5.9 (2015)

  14. Time-dependent changes in postural control in early Parkinson’s disease: what are we missing?

    Silvia Del Din, Alan Godfrey, Shirley Coleman, et al.

    2015 Medical & Biological Engineering & Computing PDF

  15. Utilization and Harmonization of Adult Accelerometry Data

    Katrien Wijndaele, Kate Westgate, Samantha Stephens, et al.

    2015 Medicine & Science in Sports & Exercise

  16. Utilization and harmonization of adult accelerometry data: review and expert consensus

    Wijndaele, K., Westgate, et al.

    2015 Medicine and science in sports and exercise 47.10 (2015)