The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
The use of inertial sensors system for human motion analysis
Open accessAbstract
OBJECTIVE: The aim of this article is to review systematically and appraise critically the literature surrounding the research, comparing inertial sensors with any kind of gold standard; this gold standard has to be a tool for measuring human movement (e.g. electrogoniometry, optoelectronic systems, electromagnetic systems, etc.). METHOD: A MEDLINE, EMBASE, CINAHL, PEDRo and SCOPUS search of published English language articles was conducted, which focused on articles that compared inertial sensors to any kind of gold standard (e.g. electrogoniometry, optoelectronic systems, electromagnetic systems, etc.), from 2000 to 2010. Two independent reviewers completed the study selection, quality appraisal and data extraction. The Critical Appraisal Skills Programme Español tool was used to assess study quality, and a reliability comparison between the systems was made. RESULTS: Fourteen out of 242 articles were reviewed, which displayed a similar threat to validity, relating to sample selection and operator blinding. Other study limitations are discussed. A comparison between the different systems showed good agreement across a range of tasks and anatomical regions. CONCLUSIONS: This review concludes that inertial sensors can offer an accurate and reliable method to study human motion, but the degree of accuracy and reliability is site and task specific.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Figures
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“This is opposite to our results.”
From Validity and Reliability of Wearable Sensors for Joint Angle Estimation: A Systematic Review (2019) · cites this paper as [12]
Experimental — accuracy not yet measuredIn the citing paper
“Two systematic reviews have been conducted to report on the psychometric evidence relating to M/IMU validity [11,12].”
From Validity and Reliability of Wearable Sensors for Joint Angle Estimation: A Systematic Review (2019) · cites this paper as [12]
In the citing paper
“The other systematic review, published in 2018, focused only on the upper limb and provided only scarce details regarding the complexity of the tasks evaluated, a problem highlighted by the first systematic review as being one of the most challenging aspects for clinical evaluation.”
From Validity and Reliability of Wearable Sensors for Joint Angle Estimation: A Systematic Review (2019) · cites this paper as [12]
In the citing paper
“The increasing number of studies in recent years that used complex movements to assess M/IMU validity and the focus made on the upper limb joint partially explain the different conclusions between these two systematic reviews and the present work [12].”
From Validity and Reliability of Wearable Sensors for Joint Angle Estimation: A Systematic Review (2019) · cites this paper as [12]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Quality criteria were proposed for measurement properties of health status questionnaires
Terwee, C. B., Bot, S. D. M., de Boer, M. R., van der Windt, D. A. W. M., Knol, D. L., Dekker, J., Bouter, L. M., & de Vet, H. C. W. (2007) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2006.03.012 · Cited by 10,764
The reliability of three-dimensional kinematic gait measurements: A systematic review
McGinley, J. L., Baker, R. J., Wolfe, R. S., & Morris, M. E. (2008) · Gait & Posture · doi:10.1016/j.gaitpost.2008.09.003 · Cited by 1,155
Mayagoitia, R. E., Nene, A. V., & Veltink, P. H. (2002) · Journal of Biomechanics · doi:10.1016/s0021-9290(01)00231-7 · Cited by 655
Acceleration patterns of the head and pelvis when walking on level and irregular surfaces
Menz, H. B., Lord, S. R., & Fitzpatrick, R. C. (2002) · Gait & Posture · doi:10.1016/s0966-6362(02)00159-5 · Cited by 654
Measuring orientation of human body segments using miniature gyroscopes and accelerometers
Luinge, H. J., & Veltink, P. H. (2005) · Medical & Biological Engineering & Computing · doi:10.1007/bf02345966 · Cited by 647
A practical gait analysis system using gyroscopes
Tong, K., & Granat, M. H. (1999) · Medical Engineering & Physics · doi:10.1016/s1350-4533(99)00030-2 · Cited by 460
Najafi, B., Aminian, K., Loew, F., Blanc, Y., & Robert, P. A. (2002) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2002.800763 · Cited by 435
A real-time articulated human motion tracking using tri-axis inertial/magnetic sensors package
Zhu, R., & Zhou, Z. (2004) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2004.827825 · Cited by 390
Ambulatory Position and Orientation Tracking Fusing Magnetic and Inertial Sensing
Roetenberg, D., Slycke, P., & Veltink, P. H. (2007) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2006.889184 · Cited by 334
Ambulatory measurement of shoulder and elbow kinematics through inertial and magnetic sensors
Cutti, A. G., Giovanardi, A., Rocchi, L., Davalli, A., & Sacchetti, R. (2008) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-007-0296-5 · Cited by 311
Cited by
Sorted by citations
Items 301–369 of 369
Kim, K. J., Gimmon, Y., Millar, J. L., Brewer, K., Serrador, J., & Schubert, M. C. (2020) · doi:10.21203/rs.3.rs-42274/v1 · Cited by 1
Monitoring in Football and Field Hockey
Wilmes, E. (2023) · doi:10.5463/thesis.215 · Cited by 1
Martín‐Martín, J., Cuesta‐Vargas, A., & Manzanares, M. T. L. (2015) · Faculty of Health
Self-citationFrom Activity Recognition to Motion Assessment: Delimitate against the Other Class within a WBAN
Seiffert, M., Holstein, F., & Schiller, J. (2017) · International Conference on Body Area Networks · doi:10.4108/eai.15-12-2016.2267648
Toward low cost system for real time monitoring of spine movement
Mansour, K. B., Crison, F., Trabelsi, C., Palazzo, C., Rören, A., & Klinger, É. (2017) · Computer Methods in Biomechanics & Biomedical Engineering · doi:10.1080/10255842.2017.1382838
On the use of inertial sensors to determine trunk displacement during walking: a validation study
Fleron, M. K., Ubbesen, N. C. H., Battistella, F., Dejtiar, D. L., & Oliveira, A. S. (2017) · VBN Forskningsportal (Aalborg Universitet)
Functional Assessment of Subacute or Chronic Low Back Pain by Subjective and Objective Measures
Martínez-González, A., Díaz, J. M., Villarreal-Salcedo, I., Gómez-Trullén, E. M., Royo-Sánchez, A. C., & Marín-Zurdo, J. (2018) · Medicina Universitaria · doi:10.24875/rmu.m18000009
Seghers, T., Maninchedda, U. E., Vidondo, B., Ramseyer, A. A., & Cruz, A. M. (2018) · Pferdeheilkunde Equine Medicine · doi:10.21836/pem20180403
Multi-sensor Database for Cervical Area: Inertial, EEG and Thermography Data
Font, X., Paul, C., & Moreno, J. G. (2018) · Smart innovation, systems and technologies · doi:10.1007/978-3-319-95095-2_11
DrAntonio, E., Salvatori, S., Patanè, F., Marzegan, A., Bonora, G., Carpinella, I., Ferrarin, M., & Rossi, S. (2018) · IEEE International Symposium on Medical Measurements and Applications (MeMeA) · doi:10.1109/memea.2018.8438695
Bansbach, H. M. (2017) · D-Scholarship@Pitt (University of Pittsburgh)
Steyn, H. (2018) · SUNScholar (Stellenbosch University)
Characterization of discomfort in an environment constrained type aircraft cockpit
Mollard, R., Hubert, E., Barthes, N., & Wolff, M. (2018) · doi:10.1145/3317326.3317337
Jair Burboa, G., Matías Bahamondes, F., Inostroza-Mondaca, M., Paloma Lillo, U., & Hinzpeter, J. (2019) · Journal of Sports and Exercise Medicine · doi:10.14302/issn.2694-2283.jsem-19-2949
Mazuquin, B. (2019) · CLOK (University of Central Lancashire)
Barthélemy, A. (2019) · KTH Publication Database DiVA (KTH Royal Institute of Technology)
Schwarz, J., Vidondo, B., Maninchedda, U. E., Sprick, M., Schöpfer, M. C., & Cruz, A. M. (2021) · Frontiers in Veterinary Science · doi:10.3389/fvets.2021.595455
Olivencia, J. J. L., Aguilera, F. J. G., Terrón, A. M., & Márquez, E. P. (2021) · UMA Editorial eBooks · doi:10.24310/mumaedmumaed.76
Assessing quality of upper limb movements after stroke with prospects of wearable technologies
Schwarz, A. (2021) · doi:10.3990/1.9789036551632 · Cited by 1
Salas, E. A. (2017) · YorkSpace (York University)
Ground reaction force estimation to assess football player movement on hybrid turfs
d'Andrea, F. (2020) · Sheffield Hallam University · doi:10.7190/shu-thesis-00372
Research on real-time posture analysis of dance based on spatial data partition
Wang, B. (2021) · IEEE International Conference on Information Systems and Computer Aided Education (ICISCAE) · doi:10.1145/3482632.3484147
Gilbert, T. (2021) · UCL Discovery (University College London)
Cicek, S. (2022) · BOĞAZİÇİ TIP DERGİSİ · doi:10.14744/bmj.2022.86547
Hage, R., Detrembleur, C., Dierick, F., Pitance, L., Jojczyk, L., Estievenart, W., & Buisseret, F. (2019) · doi:10.31224/osf.io/6n4ke · Cited by 1
Gyroscope Vector Magnitude: A proposed measure for accurately measuring angular velocitiesPreprint
Chen, H., Schall, M. C., & Fethke, N. B. (2022) · medRxiv · doi:10.1101/2022.10.05.22280752
Development of Fast Posture Classification System for Table Tennis Robot
Jin, S., Kwon, Y., Kim, Y., Park, M.-Y., An, J., Kang, H., Choi, J., & Lee, I. (2022) · The Journal of Korea Robotics Society · doi:10.7746/jkros.2022.17.4.463
Efficient Prediction of Segment Kinematics and Dynamics from Motion Capture Data Using Deep Learning
Chowdhury, D. N., Ahmed, A., & Sreenivasa, M. (2023) · IEEE Applied Sensing Conference (APSCON) · doi:10.1109/apscon56343.2023.10100990
Alsolmi, A. H., & Alhamed, A. H. (2023) · Acta Scientific Orthopaedics · doi:10.31080/asor.2023.06.0780
Pareja-Cano, Á., Arjona-Caballero, J. M., Caulfield, B., & Vargas, A. I. C. (2024) · Sensors · doi:10.3390/s24072191 · Cited by 1
Self-citationULTRA: UWB-based Localization and TRAcking through A-DBSCAN and Bayesian Algorithm
Han, Z., Chen, J., & Bai, F. (2024) · Conference on Local Computer Networks · doi:10.1109/lcn60385.2024.10639693
A Novel Approach for Upper Limbs Joint Angle Measurement Using Wearable IMU Sensors
Baklouti, S., Rezgui, T., Chaker, A., Mefteh, S., Mansour, K. B., Sahbani, A., & Bennour, S. (2024) · Mechanisms and machine science · doi:10.1007/978-3-031-59888-3_16
달리기 속도에 따른 관성 측정 장비(IMU)의 신뢰도 분석
강, 지., 강, 재., & 윤, 석. (2024) · 한국체육학회지 · doi:10.23949/kjpe.2024.9.63.5.34
In-Sensor Movement Variability Tracking
Saha, S. S., Palle, K. C., & Chowdhary, M. (2024) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc53108.2024.10782050
Yoshida, T., Uehara, S., Hirano, A., Itoh, S., & Otaka, Y. (2025) · medRxiv · doi:10.1101/2025.04.24.25326137
Qualitative Assessment of Ballet Kinematics Algorithm: Case Study in the Glissade Saut de Chat
Benchetrit, A. (2025) · Journal of Dance Medicine & Science · doi:10.1177/1089313x251338367
Gundersen, A. H., Larsen, S., & van den Tillaar, R. (2025) · Research Square · doi:10.21203/rs.3.rs-7056827/v1
Gong, L., Prasad, P. S., Leung, C. C., Kashyap, G. S., Ardakani, S. P., Clifford, R., Williams, P., & Yu, M. (2025) · IEEE Access · doi:10.1109/access.2025.3602153
Parametric extraction of spatiotemporal gait features using wireless foot sensor module
Das, R., Khera, P., & Kumar, N. (2025) · Computer Methods in Biomechanics & Biomedical Engineering · doi:10.1080/10255842.2025.2555398 · Cited by 1
Sensor Fusion for Enhancing Motion Capture: Integrating Optical and Inertial Motion Capture Systems
Hicks, H. N., Chen, H., & Harper, S. A. (2025) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/10711813251358247
Tanrıverdi, A., Kahraman, B. Ö., Yılmaz, M. B., & Savcı, S. (2025) · Heart & Lung · doi:10.1016/j.hrtlng.2025.10.018
Cuesta‐Vargas, A., Fuentes-Abolafio, I. J., García-Conejo, C., Díaz-Balboa, E., Trinidad‐Fernández, M., Sánchez, D. G., Escriche-Escuder, A., Cobos-Palacios, L., Sampalo, A. L., Pérez-Ruiz, J. M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26638491
Self-citationCuesta‐Vargas, A., Fuentes-Abolafio, I. J., García-Conejo, C., Díaz-Balboa, E., Trinidad‐Fernández, M., Sánchez, D. G., Escriche-Escuder, A., Cobos-Palacios, L., Sampalo, A. L., Pérez-Ruiz, J. M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26638488
Self-citationCuesta‐Vargas, A., Fuentes-Abolafio, I. J., García-Conejo, C., Díaz-Balboa, E., Trinidad‐Fernández, M., Sánchez, D. G., Escriche-Escuder, A., Cobos-Palacios, L., Sampalo, A. L., Pérez-Ruiz, J. M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26638494
Self-citationThomson, I., & Kramer, M. (2026) · Sensors · doi:10.3390/s26020705
The effects of task constraints on postural control regularity in autistic children
Silva, L. P., Paz, C. C. D. S. C., Aquino, M. R. C., de Araújo, P. A., Lara, A. C. M., Tavares, M. R. G., Okai-Nóbrega, L. A., Ocarino, J. M., Souza, T. R., & Fonseca, S. T. (2026) · Human Movement Science · doi:10.1016/j.humov.2026.103451
Correlative Postural Gait Descriptor to Discriminate Parkinsonian Findings in a Markerless Analysis
Portilla, J. J., Rangel, E., Bacca, O., Ramírez, P. C., Guayacán, L., & Martínez, F. (2026) · TecnoLógicas · doi:10.22430/22565337.3432
Moya‐Cuenca, C., García, M. G., Chicharro‐Luna, E., & Noguerón, G. G. (2026) · Revista Española de Podología · doi:10.20986/revesppod.2026.1767/2025
Reneaud, N. (2022) · theses.fr (ABES) · doi:10.70675/70b3a777z4eebz4161zaa99z8a5c3e5c1a01
Lalwani, A., Gombatto, S. P., Velazquez, Y., Wyckoff, E., Yashwante, P., Patrick, K., Loh, K. J., Yu, R., & Farcas, E. (2026) · Sensors · doi:10.3390/s26123800
Soler-López, A., López-Martínez, E., Toledo-Pozuelo, R., & Gómez‐Carmona, C. D. (2026) · Sports · doi:10.3390/sports14070263
Yashwante, P., Gombatto, S. P., Velazquez, Y., Wyckoff, E., Lalwani, A., Patrick, K., Loh, K. J., Farcas, E., & Yu, R. (2026) · Sensors · doi:10.3390/s26134187
Lia, C. G., Greco, F., Pensabene, G., Aloi, N., Tagliaferri, P., Tassone, P., Anoia, M., Pace, C., Emerenziani, G. P., Staropoli, N., et al. (2026) · Applied Sciences · doi:10.3390/app16146965
Mansoubi, M., Fadavi, H., Massey, G. J., Chapman, K., Norouzi, K., Lamb, S. E., & Dawes, H. (2026) · doi:10.2196/preprints.106921
Xie, J., Noh, Y., & Wu, R. (2026) · Measurement Science and Technology · doi:10.1088/1361-6501/ae9172
Cerfoglio, S., Pau, M., Bernardelli, G., Porta, M., Casu, G., Galli, M., & Cimolin, V. (2026) · Journal of Electromyography and Kinesiology · doi:10.1016/j.jelekin.2026.103198
Rattanakoch, J., Limroongreungrat, W., Guerra, G., Manupibul, U., Apidech, H., Niamsang, W., Suphab, M., Laucha, T., & Samala, M. (2026) · PLoS ONE · doi:10.1371/journal.pone.0356786
Chen, Y., Priest, E., Santos, H., Jian, T., & Zhang, X. (2026) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/10711813261493583
A Kinematic Analysis of the Hand Function
Martín‐Martín, J., & Cuesta‐Vargas, A. (2013) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-3-319-00846-2_25
Self-citation
Metadata
- Authors
- Cuesta-Vargas, A. I., Galán-Mercant, A., & Williams, J. M.
- Affiliations
- Universidad de Málaga (ES)
- University of Roehampton (GB)
- Venue
- Physical Therapy Reviews
- Publisher
- Informa UK Limited
- Published
- 2010-12
- Volume
- 15
- Issue
- 6
- Pages
- 462-473
- ISSN
- 1083-3196 (ISSN-L)
- 1743-288X
- PMC
- PMC3566464
- OpenAlex
- W1994978432
- Cited by
- 369
- References
- 41
- Citations by year
- 2026: 19 · 2025: 23 · 2024: 33 · 2023: 30 · 2022: 33 · 2021: 47 · 2020: 39 · 2019: 35 · 2018: 33 · 2017: 29 · 2016: 10 · 2015: 16 · 2014: 15 · 2013: 5 · 2012: 2
- FWCI
- 2.60
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Physical Therapy Reviews (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- QUT ePrints (Queensland University of Technology) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Physical Sciences › Engineering › Aerospace Engineering › Inertial Sensor and Navigation
- Physical Sciences › Engineering › Biomedical Engineering › Lower Extremity Biomechanics and Pathologies
- Keywords
- inertial sensors, human motion analysis, gold standard comparison, electrogoniometry, optical motion capture, measurement validity, gait analysis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
