A Review of Accelerometry-Based Wearable Motion Detectors for Physical Activity Monitoring

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Evaluation d'un risque de chute selon les parametres de la demarche et etude d'une methode de transmission a l'aide de stimuli tactiles /

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A Mobile Cloud Shared Workspace to Support Homecare for Respiratory Diseases in Chile

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Evaluation of Accuracy and Inaccuracy of Depth Sensor based Kinect System for Motion Analysis in Specific Rotational Movement for Balance Rehabilitation Training

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Embedded Sensor Systems for Health in Home Healthcare

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Fall Detection Systems to be Used by Elderly People

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12 Wearable Nanoenabled Biosensors

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Maternal physical activity: influence on maternal and delivery outcomes

Watson, E. D. (2016)

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El estudio de la enfermedad de Parkinson con instrumentación biomédica: proyecto para el aula de Tecnología en educación secundaria

Micó-Amigo, M. E., & Amigo, E. M. (2017) · Revista Tecnología Ciencia y Educación · doi:10.51302/tce.2017.138

Identifying The Usage Anomalies For ECG-Based Healthcare Body Sensor Networks

Chen, L. (2016) · White Rose eTheses Online (University of Leeds, The University of Sheffield, University of York)

A Real-Time Human Posture Classifier and Fall-Detector

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Patricia, J., & Vital, M. (2015)

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Jogos Virtuais

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Visual Analysis of Large, Time-Dependent, Multi-Dimensional Smart Sensor Tracking Data

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Dynamic Gait Monitoring Mobile Platform

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A fluidics-based impact sensor

Takahashi, D., Hara, K., Okano, T., & Suzuki, H. (2018) · PLoS ONE · doi:10.1371/journal.pone.0195741

A framework and prototype of a telehealth system via fusion of advanced technologies and open source applications

Naeemah, A. J. (2015) · OhioLink ETD Center (Ohio Library and Information Network)

Design and validation of a simple automated optical step counting method for treadmill walking

Mahoney, J. M., Scalyer, Z. E., & Rhudy, M. B. (2018) · Journal of Medical Engineering & Technology · doi:10.1080/03091902.2018.1546343

Quantifying changes in accelerations and heart rate indicative of fatigue during condensed competitions in elite youth ice hockey players

Martel, K. (2018)

Carbon Nanotubes-Polydimethylsiloxane Sensor

Nag, A., Mukhopadhyay, S. C., & Kosel, J. (2019) · Smart sensors, measurement and instrumentation · doi:10.1007/978-3-030-13765-6_4

Virtual reality based upper extremity stroke rehabilitation system.

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Testing and validation of developed upgradable mobile platform for smart applications

Geekiyanage, P., Jayasinghe, L. A. D. I. T., Jayarathne, H. T., & Amarasinghe, Y. (2019)

Wearable Computing and Human-Centricity

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The system of daily self-monitoring of physical activity of youth in various move and energy modes

Nagovitsyn, R. S., Osipov, A. Y., & Kudryavtsev, M. D. (2019) · International Conference on Innovations in Sports, Tourism and Instructional Science (ICISTIS) · doi:10.2991/icistis-19.2019.41

Tracking Center of Mass with Limited Inertial Measurement Units

Morrow, C. (2000) · doi:10.15760/etd.7146

Thermal and Visual Imaging and Accelerometry Developments to Assist with Arthritis Diagnosis

Nwaizu, H. (2019) · Sheffield Hallam University · doi:10.7190/shu-thesis-00261

Feet first: Developing instrumented insoles to prove association between weight bearing and foot pain

Macdonald, E. (2019) · Summit (Simon Fraser University)

Design of a wearable to improve single-device motion classification of arm motions

Lui, J. (2019) · Summit (Simon Fraser University)

Accelerometry measurement of physical activity and sedentary behaviour in pre-school children

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Analysis of Body Balance Indicators of the Aged based on Spatial Positions of Human Key Body Parts

Hu, C., & Zhao, H. (2020) · International Conference on Computers, Information Processing and Advanced Education (CIPAE) · doi:10.1145/3419635.3419642

Structural Health Monitoring System for Bridges Using Internet of Things

Kaur, P., Bhardwaj, L., & Tanwar, R. (2020) · Lecture notes in networks and systems · doi:10.1007/978-981-15-7130-5_64

Wearable wireless ultrasonic sensors for human gait analysis

Ashhar, K. (2020) · doi:10.32657/10356/139650

Algorithm for Human Fall Detection Based on Acceleration Measurement

Wilk, B., Augustyn, M., & Wilk, G. A. (2020) · Signal Processing: Algorithms, Architectures, Arrangements, and Applications · doi:10.23919/spa50552.2020.9241243

DETECTION OF HEALTH-RELATED BEHAVIOURS USING HEAD-MOUNTED DEVICES

Bi, S. (2021)

Mixture of Hidden Markov Models for Pattern-Recognition of Accelerometer data

Bernard, J., de Chaumaray, M. D. R., Marbac, M., & Navarro, F. (2019) · HAL

Posture Recognition in the Critical Care Settings using Wearable DevicesPreprint

Davoudi, A., Tighe, P. J., Bihorac, A., & Rashidi, P. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2110.02768

Occupant monitoring, modelling, and simulation to improve office design and operation

Gilani, S. (2017) · Carleton University's Institutional Repository (MacOdrum Library, Carleton University) · doi:10.22215/etd/2017-12142

The relationship between the home environment and children’s physical activity and sedentary behaviour at home

Sheldrick, M. P. R. (2021) · Cronfa (Swansea University) · doi:10.23889/suthesis.58523

An automated algorithmic approach for activity recognition and step detection in the presence of functional compromise

Filippou, V. (2021) · White Rose eTheses Online (University of Leeds, The University of Sheffield, University of York)

Physical activity, sedentary time and the psychological variables, pain-acceptance, fear-avoidance and selfefficacy after an interdisciplinary pain rehabilitation program – a pilot study

Nilsask, K., Fischer, M. R., & Wisén, A. G. M. (2021) · Medicine and Clinical Science · doi:10.33425/2690-5191.1040

Nuevas técnicas de monitorización, personalización y coaching inteligente para alcanzar hábitos de vida saludables para una mejor salud cerebral

Moreno-Blanco, D. (2021) · UPM Digital Archive (Technical University of Madrid) · doi:10.20868/upm.thesis.69176

Direct and Indirect Relationships Between Impaired Sleep, Obesity Risk Factors and Overweight and ObesityPreprint

Eid, S. W., Brown, R. F., Birmingham, C. L., & Maloney, S. K. (2022) · Research Square · doi:10.21203/rs.3.rs-1151859/v1

Wearable Devices and Privacy Concerns

Dincelli, E., Zhou, X., Yayla, A., & Jafarian, H. (2021) · IGI Global eBooks · doi:10.4018/978-1-7998-8954-0.ch009

Safety and Security

Ellis, D. A. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108671408.008

Preface

Ellis, D. A. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108671408.001

Health and Behaviour Change

Ellis, D. A. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108671408.004

Introduction

Ellis, D. A. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108671408.002

Conclusion

Ellis, D. A. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108671408.009

Cognition

Ellis, D. A. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108671408.007

mHealth Apps for Older Adults and Persons with Parkinson's Disease

Corzani, M. (2022) · Studies in computational intelligence · doi:10.1007/978-981-16-8488-3_11

Estimation of the Heart Rate and Energy Expenditure with a Smart Bracelet during Different Intensities of Exercise: A Reliability and Validity Study (Preprint)Preprint

Ni, G., Cai, Y., Wang, Z., Kong, W., Jiang, J., Feng, L., Zhao, R., & Wang, D. (2022) · doi:10.2196/preprints.36726

Computerised accelerometric machine learning techniques and statistical developments for human balance analysis

Ojie, O. D. (2022) · Sheffield Hallam University · doi:10.7190/shu-thesis-00434

Assessing Activity of Daily Living through Technology-Enabled Tools: Mobility and Nutrition Assessment: MiranaBot: A Nutrition Assessment Use Case

Randriambelonoro, M. (2022) · Health informatics · doi:10.1007/978-3-030-94212-0_2

Connected and Smart Medical Devices

Jain, R., Tewari, V. K., Singh, Y., Chandola, N., & Badola, S. (2022) · Disruptive technologies and digital transformations for society 5.0 · doi:10.1007/978-981-16-9476-9_10

Background

Ortiz, J. (2015) · Springer theses · doi:10.1007/978-3-319-14274-6_2

Inclinometer Validation and Analysis of Sedentary Behavior in Older Adolescent University Students

Peterson, N. E. (2014) · doi:10.18130/v3881x

Index

Ellis, D. A. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108671408.010

Can Digital Health Solutions Fill in the Gap for Effective Guideline Implementation in Cardiovascular Disease Prevention: Hope or Hype?

Santo, K. (2022) · Current Atherosclerosis Reports · doi:10.1007/s11883-022-01050-6

Robust Multi-Frequency Posture Detection based on Purely Passive Magneto-Inductive Tags

Schulten, H., & Wittneben, A. (2022) · International Conference on Communications · doi:10.1109/icc45855.2022.9839034

Gait Recognition, Evaluation

Sarkar, S., Subramanian, R., & Liu, Z. (2015) · Encyclopedia of Biometrics · doi:10.1007/978-1-4899-7488-4_39

Activity Based Remote Health Monitoring System

Murugesh, S., Chandrasekar, J. B., Buyya, S., & Umamaheswaran, S. G. (2022) · IEEE International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA) · doi:10.1109/icccmla56841.2022.9989149

Variáveis de acelerometria associadas à idade e condições de saúde: estudo transversal

Chiudo, M. M. (2022) · doi:10.11606/d.82.2022.tde-11012023-172652

Correlation of physical activity with step-length and step-width in healthy young adults

Ahmed, Z., Rasool, F., & Mir, N. N. (2023) · Foundation University Journal of Rehabilitation Sciences · doi:10.33897/fujrs.v3i1.308

Sensing Technology to Improve the Quality of Life

Karpagavinayagam, P., Rajarajeswari, V., Lakshmi, K., & Vedhi, C. (2023) · ACS symposium series · doi:10.1021/bk-2023-1437.ch016

A Wearable Device for Detecting and Analyzing Gait Changes

Muley, A. J., Sasidhar, K., & Dhokai, R. (2023) · IEEE Applied Sensing Conference (APSCON) · doi:10.1109/apscon56343.2023.10101106

Recognition and Classification Technology of Abnormal Gait in Stroke Patients

黄, 灶. (2023) · Artificial Intelligence and Robotics Research · doi:10.12677/airr.2023.122012

Activity level and quality of life among patients before and after total knee replacement surgery

Huda, A. (2023) · doi:10.15170/pte.2023.002

การวเคราะหอาการความผดปกตชวงกลางคน ทงอาการการเคลอนไหวผดปกต และอาการทไมเกยวกบการเคลอนไหวในผปวยโรคพารกนสน โดยการพฒนาเครองมอทใชตดกบผปวยเพอประเมนอาการทบานของผปวย

ศรีเงิน, จ., พิทยศิริ, ร., & ธนวัฒโน, ช. (2017) · doi:10.58837/chula.the.2017.1607

GaitTracker: A Digital Platform for Measuring, Detecting and Analyzing Gait Changes

Muley, A. J., Sasidhar, K., & Dhokai, R. (2023) · Springer tracts in electrical and electronics engineering · doi:10.1007/978-981-99-4476-7_16

Are Physical Activity Levels in Childhood Associated with Future Mental Health Outcomes? Longitudinal Analysis Using Millennium Cohort Study Data

Karvelyte, I. (2023) · Reinvention an International Journal of Undergraduate Research · doi:10.31273/reinvention.v16i2.967

Estudio de modificadores ambientales epigenéticos asociados a la progresión de la Enfermedad de Huntington, y su relación con la apatía. Aplicaciones socioeducativas prácticas para la terapia ocupacional

Collazo, C. (2022) · Repositorio Institucional de la Universidad de Burgos (University of Burgos) · doi:10.36443/10259/8189

A sensibilidade da posturografia de marcha Vertiguard® na avaliação do equilíbrio corporal de idosos

Brugnera, C. (2023) · doi:10.11606/t.5.2023.tde-11122023-154929

The correction system of student actions in the physical education classroom based on improved machine learning

Abdulsada, Z. R., Ahmed, I., Alubady, R., Mazin, H. M. S., Al-Tahee, M., & Abdulaziz, S. (2023) · International Conference on Emerging Research in Computational Science (ICERCS) · doi:10.1109/icercs57948.2023.10434099

Exercise Adherence in Chronic Obstructive Pulmonary Disease: Review of Current Evidence from the Netherlands

Ricke, E. (2024) · Medical Research Archives · doi:10.18103/mra.v12i2.5116

Physical activity, participation and health-related quality of life in chronic fatigue syndrome and multiple osteochondromas

Vergauwen, K. (2024) · Research Publications (Maastricht University) · doi:10.26481/dis.20240425kv

Using Sensor Graphs for Monitoring the Effect on the Performance of the OTAGO Exercise Program in Older Adults

Friedrich, B. (2024) · Springer eBooks · doi:10.1007/978-3-658-44688-8_4

An Affordable Real-Time Wearable Monitoring System for Head Impact Detection

Ghazal, A. A., & Ganpule, S. G. (2024) · IEEE Annual International Computer Software and Applications Conference (COMPSAC) · doi:10.1109/compsac61105.2024.00120

The economic feasibility of digital health and telerehabilitation

Sharma, P., Gupta, M., & Kalra, R. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-13619-1.00004-0

Convergent Validity of Garmin Vivofit Jr. 3 and Fitbit Ace 3 for Monitoring Daily Physical Activity of Children

Kwon, S., Bai, Y., Kim, Y., Burns, R. D., Brusseau, T. A., & Byun, W. (2024) · Measurement in Physical Education and Exercise Science · doi:10.1080/1091367x.2024.2417793

Feasibility and preliminary evidence of the immediate effect on balance, functionality, and cognition in adults over 50 through postural sway-meter training

Suttanon, P., Khanphed, W., Saadprai, S., & Apibantaweesakul, S. (2024) · PLoS ONE · doi:10.1371/journal.pone.0314357

Comparison of Physical Activity Measurements in Preschool-Aged Children Using the System for Observing Play and Leisure Activity in Youth (SOPLAY) and Accelerometers

LaRocca, D., Quinlan, J., Scarbro, S. L., Farewell, C. V., & Puma, J. E. (2024) · Measurement in Physical Education and Exercise Science · doi:10.1080/1091367x.2024.2441347

Automatic Dietary Monitoring Using Inertial Sensor in Smartwatch

Pavlov, K., Tsepulin, V., Lutsyak, N., Khasianov, R., Simchuk, E., Perchik, A., & Volkova, E. (2024) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros58592.2024.10802031

The Importance of Child Guard Apps Worldwide

Arshad, M. M., Jankeeram, L. K., Majeed, S., & Grigaliūnienė, S. (2024) · doi:10.57005/ab.2024.2.5

Biomechaninis paciento perkėlimo judesio modeliavimas ir ergonominės rizikos vertinimas

Senvaitis, K. (2025) · doi:10.20334/2025-005-m

Accelerometer in stroke rehabilitation: A modern look at the assessment of physical activity

Kozlyakova, M. A., Sirotenko, A. V., Chepnyan, A. R., Ekizova, A. N., Мефаев, Р. Э., Zhachemukov, A. M., Gorlina, P. V., Vakhtinskaya, M. V., Khakova, E. A., Galimov, A. R., et al. (2024) · Medical and Social Expert Evaluation and Rehabilitation · doi:10.17816/mser642799

A Review of the Application Scope of Wearable Devices in Sarcopenia

穆, 茂. (2025) · Advances in Clinical Medicine · doi:10.12677/acm.2025.153820

Counting What Counts: Ensuring Wearable Step-Count Validity for Effective Public Health InterventionsPreprint

Hu, B., Abdul-Samad, A., Amini, D., Ghani, I., Wasif, S., Chomiak, T., & David, A. (2025) · medRxiv · doi:10.1101/2025.05.24.25328291

Evolutionary Artificial Intelligence Algorithm for Optimizing Step Phase Detection Based on Foot-Mounted Triaxial Accelerometer Data

Khmarskiy, P. A. (2025) · Devices and Methods of Measurements · doi:10.21122/2220-9506-2025-16-2-98-108

Integration of Sensor and Biometric Data in Shooting Training: An Efficient and Goal-Oriented Approach through an Intelligent Decision Support System

Küçükkülahlı, E. (2025) · Düzce Üniversitesi Bilim ve Teknoloji Dergisi · doi:10.29130/dubited.1716947

MELON: Multimodal Mixture-of-Experts with Spectral-Temporal Fusion for Long-Term MObility EstimatioN in Critical Care

Zhang, J., Contreras, M., Sena, J., Davidson, A., Ren, Y., Guan, Z., Ozrazgat‐Baslanti, T., Loftus, T. J., Nerella, S., Bihorac, A., et al. (2025) · Lecture notes in computer science · doi:10.1007/978-3-032-05182-0_34

Review A Review of Accelerometry-Based Wearable Motion Detectors for Physical Activity Monitoring

Yang, C.-C., & Hsu, Y.-L. (2010)

A Brief Review of Accelerometry and Heart Rate Measurements Based Physical Activity Monitoring

Stankevičius, D., & Marozas, V. (2013) · Cited by 2

RESEARCH ARTICLE Physical Activities Monitoring Using Wearable Acceleration Sensors Attached to the Body

Arif, M., & Kattan, A. J. (2016)

Device-based measurement

Esliger, D., Kingsnorth, A. P., & Theophilus, M. J. (2026) · Routledge eBooks · doi:10.4324/9781042009237-10

A Review of Accelerometer-Based Physical Activity Measurement

Meng, Y., & Kim, H. (2011) · Lecture notes in electrical engineering · doi:10.1007/978-94-007-2911-7_20 · Cited by 10