A Review of Fatigue Detection Methods by Identifying Gait Features

[1]            Hirshkowitz M (2013) Fatigue, sleepiness, and safety: definitions, assessment, methodology. Sleep Med Clin 8:183–189

[2]            Deary IJ (1996) Measuring stress: A guide for health and social scientists. Oxford University Press, USA

[3]            Hancock PA, Desmond PA (2001) Stress, workload, and fatigue. Lawrence Erlbaum Associates Publishers

[4]            Bültmann U, Kant I, Kasl S V., et al (2002) Fatigue and psychological distress in the working population psychometrics, prevalence, and correlates. J Psychosom Res 52:445–452. https://doi.org/10.1016/S0022-3999(01)00228-8

[5]            Stewart WF, Ricci JA, Chee E, et al (2003) Cost of Lost Productive Work Time among US Workers with Depression. JAMA 289:3135–3144. https://doi.org/10.1001/jama.289.23.3135

[6]            Reynolds KJ, Vernon SD, Bouchery E, Reeves WC (2004) The economic impact of chronic fatigue syndrome. Cost Effectiveness and Resource Allocation 2:1–9. https://doi.org/10.1186/1478-7547-2-4

[7]            Ricci JA, Chee E, Lorandeau AL, Berger J (2007) Fatigue in the U.S. workforce: Prevalence and implications for lost productive work time. J Occup Environ Med 49:1–10. https://doi.org/10.1097/01.jom.0000249782.60321.2a

[8]            Swaen GMH, Van Amelsvoort LGPM, Bültmann U, Kant IJ (2003) Fatigue as a risk factor for being injured in an occupational accident: Results from the Maastricht Cohort Study. Occup Environ Med 60:i88–i92. https://doi.org/10.1136/oem.60.suppl_1.i88

[9]            Nadhim EA, Hon C, Xia B, et al (2016) Falls from height in the construction industry: A critical review of the scientific literature. Int J Environ Res Public Health 13:638. https://doi.org/10.3390/ijerph13070638

[10]          How Fatigue Influences Safety Protocols in Transportation, (n.d.). https://fatiguescience.com/blog/how-fatigue-influences-safety-protocols-transportation (accessed April 8, 2025).

[11]          Yan X, Rau PP, Zhong R (2019) Let Walking Rhythms Tell Your Work Fatigue : A Novel Approach for Work Fatigue Assessment among Young Adults

[12]          Behrens M, Mau-Moeller A, Lischke A, et al (2018) Mental Fatigue Increases Gait Variability during Dual-task Walking in Old Adults. Journals of Gerontology - Series A Biological Sciences and Medical Sciences 73:792–797. https://doi.org/10.1093/gerona/glx210

[13]          Loy BD, Cameron MH, O’Connor PJ (2018) Perceived fatigue and energy are independent unipolar states: Supporting evidence. Med Hypotheses 113:46–51. https://doi.org/10.1016/j.mehy.2018.02.014

[14]          Eshragh J, Dhruva A, Paul SM, et al (2017) Associations Between Neurotransmitter Genes and Fatigue and Energy Levels in Women After Breast Cancer Surgery. J Pain Symptom Manage 53:67-84.e7. https://doi.org/10.1016/j.jpainsymman.2016.08.004

[15]          Boolani A, O’Connor PJ, Reid J, et al (2019) Predictors of feelings of energy differ from predictors of fatigue. Fatigue 7:12–28. https://doi.org/10.1080/21641846.2018.1558733

[16]          Boolani A, Gallivan KM, Ondrak KS, et al (2022) Trait Energy and Fatigue May Be Connected to Gut Bacteria among Young Physically Active Adults: An Exploratory Study. Nutrients 14:466. https://doi.org/10.3390/nu14030466

[17]          Dupree EJ, Goodwin A, Darie CC, Boolani A (2019) A Pilot Exploratory Proteomics Investigation of Mental Fatigue and Mental Energy. Adv Exp Med Biol 1140:601–611. https://doi.org/10.1007/978-3-030-15950-4_36

[18]          Loy BD, O’Connor PJ (2016) The effect of histamine on changes in mental energy and fatigue after a single bout of exercise. Physiol Behav 153:7–18. https://doi.org/10.1016/j.physbeh.2015.10.016

[19]          Sedighi Maman Z, Alamdar Yazdi MA, Cavuoto LA, Megahed FM (2017) A data-driven approach to modeling physical fatigue in the workplace using wearable sensors. Appl Ergon 65:515–529. https://doi.org/10.1016/j.apergo.2017.02.001

[20]          Baghdadi A, Megahed FM, Esfahani ET, Cavuoto LA (2018) A machine learning approach to detect changes in gait parameters following a fatiguing occupational task. Ergonomics 61:1116–1129. https://doi.org/10.1080/00140139.2018.1442936

[21]          Zhang J, Lockhart TE, Soangra R (2014) Classifying lower extremity muscle fatigue during walking using machine learning and inertial sensors. Ann Biomed Eng 42:600–612. https://doi.org/10.1007/s10439-013-0917-0

[22]          Thomas E, Battaglia G, Patti A, et al (2019) Physical activity programs for balance and fall prevention in the elderly. Medicine (United States) 98:1–9. https://doi.org/10.1097/MD.0000000000016218

[23]          Shetty S, Rao YS (2016) SVM based machine learning approach to identify Parkinson’s disease using gait analysis. Proceedings of the International Conference on Inventive Computation Technologies, ICICT 2016 2:. https://doi.org/10.1109/INVENTIVE.2016.7824836

[24]          Klucken J, Barth J, Kugler P, et al (2013) Unbiased and Mobile Gait Analysis Detects Motor Impairment in Parkinson’s Disease. PLoS One 8:e56956. https://doi.org/10.1371/journal.pone.0056956

[25]          Yoneyama M, Kurihara Y, Watanabe K, Mitoma H (2013) Accelerometry-based gait analysis and its application to parkinson’s disease assessment-Part 2 : A new measure for quantifying walking behavior. IEEE Transactions on Neural Systems and Rehabilitation Engineering 21:999–1005. https://doi.org/10.1109/TNSRE.2013.2268251

[26]          Pistacchi M, Gioulis M, Sanson F, et al (2017) Gait analysis and clinical correlations in early Parkinson’s disease. Funct Neurol 32:28–34. https://doi.org/10.11138/FNeur/2017.32.1.028

[27]          Del Din S, Elshehabi M, Galna B, et al (2019) Gait analysis with wearables predicts conversion to parkinson disease. Ann Neurol 86:357–367. https://doi.org/10.1002/ana.25548

[28]          Spain RI, St. George RJ, Salarian A, et al (2012) Body-worn motion sensors detect balance and gait deficits in people with multiple sclerosis who have normal walking speed. Gait Posture 35:573–578. https://doi.org/10.1016/j.gaitpost.2011.11.026

[29]          Brandstadter R, Ayeni O, Krieger SC, et al (2020) Detection of subtle gait disturbance and future fall risk in early multiple sclerosis. Neurology 94:E1395–E1406. https://doi.org/10.1212/WNL.0000000000008938

[30]          Moon Y, McGinnis RS, Seagers K, et al (2017) Monitoring gait in multiple sclerosis with novel wearable motion sensors. PLoS One 12:e0171346. https://doi.org/10.1371/journal.pone.0171346

[31]          Sosnoff JJ, Sandroff BM, Motl RW (2012) Quantifying gait abnormalities in persons with multiple sclerosis with minimal disability. Gait Posture 36:154–156. https://doi.org/10.1016/j.gaitpost.2011.11.027

[32]          Meyer BM, Tulipani LJ, Gurchiek RD, et al (2021) Wearables and Deep Learning Classify Fall Risk from Gait in Multiple Sclerosis. IEEE J Biomed Health Inform 25:1824–1831. https://doi.org/10.1109/JBHI.2020.3025049

[33]          Baan H, Dubbeldam R, Nene A V., van de Laar MAFJ (2012) Gait Analysis of the Lower Limb in Patients with Rheumatoid Arthritis: A Systematic Review. In: Seminars in Arthritis and Rheumatism. Elsevier, pp 768–788

[34]          Weiss RJ, Wretenberg P, Stark A, et al (2008) Gait pattern in rheumatoid arthritis. Gait Posture 28:229–234. https://doi.org/10.1016/j.gaitpost.2007.12.001

[35]          Esbjörnsson AC, Rozumalski A, Iversen MD, et al (2014) Quantifying gait deviations in individuals with rheumatoid arthritis using the Gait Deviation Index. Scand J Rheumatol 43:124–131. https://doi.org/10.3109/03009742.2013.822095

[36]          Taş S, Güneri S, Kaymak B, Erden Z (2015) A comparison of results of 3-dimensional gait analysis and observational gait analysis in patients with knee osteoarthritis. Acta Orthop Traumatol Turc 49:151–159. https://doi.org/10.3944/AOTT.2015.14.0158

[37]          Naili JE, Esbjörnsson AC, Iversen MD, et al (2017) The impact of symptomatic knee osteoarthritis on overall gait pattern deviations and its association with performance-based measures and patient-reported outcomes. Knee 24:536–546. https://doi.org/10.1016/j.knee.2017.02.006

[38]          Kobsar D, Charlton JM, Hunt MA (2019) Individuals with knee osteoarthritis present increased gait pattern deviations as measured by a knee-specific gait deviation index. Gait Posture 72:82–88. https://doi.org/10.1016/j.gaitpost.2019.05.020

[39]          White DK, Niu J, Zhang Y (2013) Is symptomatic knee osteoarthritis a risk factor for a trajectory of fast decline in gait speed? Results from a longitudinal cohort study. Arthritis Care Res (Hoboken) 65:187–194. https://doi.org/10.1002/acr.21816

[40]          Heiden TL, Lloyd DG, Ackland TR (2009) Knee joint kinematics, kinetics and muscle co-contraction in knee osteoarthritis patient gait. Clinical Biomechanics 24:833–841. https://doi.org/10.1016/j.clinbiomech.2009.08.005

[41]          Helbostad JL, Leirfall S, Moe-Nilssen R, Sletvold O (2007) Physical fatigue affects gait characteristics in older persons. Journals of Gerontology - Series A Biological Sciences and Medical Sciences 62:1010–1015. https://doi.org/10.1093/gerona/62.9.1010

[42]          Barbieri FA, dos Santos PCR, Vitório R, et al (2013) Effect of muscle fatigue and physical activity level in motor control of the gait of young adults. Gait Posture 38:702–707. https://doi.org/10.1016/j.gaitpost.2013.03.006

[43]          Kavanagh JJ, Morrison S, Barrett RS (2006) Lumbar and cervical erector spinae fatigue elicit compensatory postural responses to assist in maintaining head stability during walking. J Appl Physiol 101:1118–1126. https://doi.org/10.1152/japplphysiol.00165.2006

[44]          Gribble PA, Hertel J (2004) Effect of lower-extremity muscle fatigue on postural control. Arch Phys Med Rehabil 85:589–592. https://doi.org/10.1016/j.apmr.2003.06.031

[45]          Nardone A, Tarantola J, Giordano A, Schieppati M (1997) Fatigue effects on body balance. Electroencephalography and Clinical Neurophysiology - Electromyography and Motor Control 105:309–320. https://doi.org/10.1016/S0924-980X(97)00040-4

[46]          Cetin N, Bayramoglu M, Aytar A, et al (2008) Effects of Lower-Extremity and Trunk Muscle Fatigue on Balance. The Open Sports Medicine Journal 2:16–22. https://doi.org/10.2174/1874387000802010016

[47]          Yaggie JA, McGregor SJ (2002) Effects of isokinetic ankle fatigue on the maintenance of balance and postural limits. Arch Phys Med Rehabil 83:224–228. https://doi.org/10.1053/apmr.2002.28032

[48]          Brahms M, Heinzel S, Rapp M, et al (2022) The acute effects of mental fatigue on balance performance in healthy young and older adults – A systematic review and meta-analysis. Acta Psychol (Amst) 225:103540. https://doi.org/10.1016/j.actpsy.2022.103540

[49]          Springer BK, Pincivero DM (2009) The effects of localized muscle and whole-body fatigue on single-leg balance between healthy men and women. Gait Posture 30:50–54. https://doi.org/10.1016/j.gaitpost.2009.02.014

[50]          Sedighi Maman Z, Alamdar Yazdi MA, Cavuoto LA, Megahed FM (2017) A data-driven approach to modeling physical fatigue in the workplace using wearable sensors. Appl Ergon 65:515–529. https://doi.org/10.1016/j.apergo.2017.02.001

[51]          Wong DWC, Lam WK, Lee WCC (2020) Gait asymmetry and variability in older adults during long-distance walking: Implications for gait instability. Clinical Biomechanics 72:37–43. https://doi.org/10.1016/j.clinbiomech.2019.11.023

[52]          Boolani A, Ryan J, Vo T, et al (2020) Do Changes in Mental Energy and Fatigue Impact Functional Assessments Associated with Fall Risks? An Exploratory Study Using Machine Learning. Phys Occup Ther Geriatr 38:283–301. https://doi.org/10.1080/02703181.2020.1748788

[53]          Kowalski KL, Boolani A, Christie AD (2021) Sex differences in the impact of state and trait fatigue on gait variability. Hum Mov Sci 80:102884. https://doi.org/10.1016/j.humov.2021.102884

[54]          Kowalski KL, Boolani A, Christie AD (2021) State and trait fatigue and energy predictors of postural control and gait. Motor Control 25:519–536. https://doi.org/10.1123/MC.2020-0106

[55]          Boolani A, Allen A, Barrios N, Sames C (2022) Association Between Trait Energy and Fatigue and Aquatic Functional Tests: An Exploratory Study. Journal of Aquatic Physical Therapy 30:8–11. https://doi.org/10.1097/pxt.0000000000000006

[56]          Sprague BN, Zhu X, Ehrenkranz RC, et al (2021) Declining energy predicts incident mobility disability and mortality risk in healthy older adults. J Am Geriatr Soc 69:3134–3141. https://doi.org/10.1111/jgs.17372

[57]          Mahoney G, Martin J, Martin R, et al (2021) Evidence that feelings of energy and fatigue are associated differently with gait characteristics and balance: an exploratory study. Fatigue 9:125–138. https://doi.org/10.1080/21641846.2021.1950405

[58]          Fournier KA, Amano S, Radonovich KJ, et al (2014) Decreased dynamical complexity during quiet stance in children with Autism Spectrum Disorders. Gait Posture 39:420–423. https://doi.org/10.1016/j.gaitpost.2013.08.016

[59]          Morris AJ, Christie AD (2020) The effect of mental fatigue on neuromuscular function is similar in young and older women. Brain Sci 10:191. https://doi.org/10.3390/brainsci10040191

[60]          Morris AJ, Christie AD (2020) The effect of a mentally fatiguing task on postural balance control in young and older women. Exp Gerontol 132:110840. https://doi.org/10.1016/j.exger.2020.110840

[61]          Vestergaard S, Nayfield SG, Patel K V., et al (2009) Fatigue in a representative population of older persons and its association with functional impairment, functional limitation, and disability. Journals of Gerontology - Series A Biological Sciences and Medical Sciences 64:76–82. https://doi.org/10.1093/gerona/gln017

[62]          Stöckel T, Jacksteit R, Behrens M, et al (2015) The mental representation of the human gait in young and older adults. Front Psychol 6:943. https://doi.org/10.3389/fpsyg.2015.00943

[63]          Jacksteit R, Mau-Moeller A, Behrens M, et al (2018) The mental representation of the human gait in patients with severe knee osteoarthrosis: a clinical study to aid understanding of impairment and disability. Clin Rehabil 32:103–115. https://doi.org/10.1177/0269215517719312

[64]          Sandroff BM, Klaren RE, Pilutti LA, Motl RW (2014) Oxygen Cost of Walking in Persons with Multiple Sclerosis: Disability Matters, but Why? Mult Scler Int 2014:1–7. https://doi.org/10.1155/2014/162765

[65]          Sacco R, Bussman R, Oesch P, et al (2011) Assessment of gait parameters and fatigue in MS patients during inpatient rehabilitation: A pilot trial. J Neurol 258:889–894. https://doi.org/10.1007/s00415-010-5821-z

[66]          Murdock GH, Hubley-Kozey CL (2012) Effect of a high intensity quadriceps fatigue protocol on knee joint mechanics and muscle activation during gait in young adults. Eur J Appl Physiol 112:439–449. https://doi.org/10.1007/s00421-011-1990-4

[67]          Parijat P, Lockhart TE (2008) Effects of quadriceps fatigue on the biomechanics of gait and slip propensity. Gait Posture 28:568–573. https://doi.org/10.1016/j.gaitpost.2008.04.001

[68] Yoshino K, Motoshige T, Araki T, Matsuoka K (2004) Effect of prolonged free-walking fatigue on gait and physiological rhythm. J Biomech 37:1271–1280. https://doi.org/10.1016/j.jbiomech.2003.11.031

[69] Parijat P, Lockhart TE (2008) Effects of quadriceps fatigue on the biomechanics of gait and slip propensity. Gait Posture 28:568–573. https://doi.org/10.1016/j.gaitpost.2008.04.001

[70]          HÄkkinen K, Komi P V. (1986) Effects of fatigue and recovery on electromyographic and isometric force- and relaxation-time characteristics of human skeletal muscle. Eur J Appl Physiol Occup Physiol 55:588–596. https://doi.org/10.1007/BF00423202

[71]          A. Muro-de-la-Herran, B. Garcia-Zapirain, A. Mendez-Zorrilla, Gait Analysis Methods: An Overview of Wearable and Non-Wearable Systems, Highlighting Clinical Applications, Sensors 14 (2014) 3362–3394. https://doi.org/10.3390/s140203362.

[72]          Wearing, S. C., Reed, L. F., & Urry, S. R. (2013). Agreement between temporal and spatial gait parameters from an instrumented walkway and treadmill system at matched walking speed. Gait & Posture, 38(2), 380-384.

[73] Sabatini, A. M., Martelloni, C., Scapellato, S., & Cavallo, F. (2005). Assessment of walking features from foot inertial sensing. IEEE Transactions on Biomedical Engineering, 52(3), 486-494.

[74] Dai, N., et al. (2023). "Recent advances in wearable electromechanical sensors—Moving towards machine learning-assisted wearable sensing systems." Nano Energy, 105, 107965.

[75]          Mu, G., et al. (2025). "Recent advancements in wearable sensors: integration with machine learning for human–machine interaction." RSC Advances, 15(10), 7844–7854. https://doi.org/10.1039/D5RA00167F.

[76]          Eguchi R, Yorozu A, Fukumoto T, Takahashi M (2020) Estimation of Vertical Ground Reaction Force Using Low-Cost Insole with Force Plate-Free Learning from Single Leg Stance and Walking. IEEE J Biomed Health Inform 24:1276–1283. https://doi.org/10.1109/JBHI.2019.2937279

[77]          Lynall RC, Zukowski LA, Plummer P, Mihalik JP (2017) Reliability and validity of the protokinetics movement analysis software in measuring center of pressure during walking. Gait Posture 52:308–311. https://doi.org/10.1016/j.gaitpost.2016.12.023

[78]          Barbieri, F. A., dos Santos, P. C. R., Vitório, R., van Dieën, J. H., & Gobbi, L. T. B. (2013). Effect of muscle fatigue and physical activity level in motor control of the gait of young adults. Gait & posture, 38(4), 702-707.‏ https://doi.org/10.1016/j.gaitpost.2013.03.006

[79]          Barbieri FA, dos Santos PCR, Simieli L, et al (2014) Interactions of age and leg muscle fatigue on unobstructed walking and obstacle crossing. Gait Posture 39:985–990. https://doi.org/10.1016/j.gaitpost.2013.12.021

[80]          Behmaram S, Jalalvand A, Reza Jahani M (2021) Effects of backpack-induced fatigue on gait ground reaction force characteristics in primary school children with flat-foot deformity. J Biomech 129:110817. https://doi.org/10.1016/j.jbiomech.2021.110817

[81]          Gao, Z., Zhu, Y., Fang, Y., Fekete, G., Kovács, A., Baker, J. S., ... & Gu, Y. (2023). Automated recognition of asymmetric gait and fatigue gait using ground reaction force data. Frontiers in Physiology, 14, 1159668.‏

https://doi.org/10.3389/fphys.2023.1159668

[82]          Lim H, Kim B, Park S (2020) Prediction of lower limb kinetics and kinematics during walking by a single IMU on the lower back using machine learning. Sensors (Switzerland) 20:130. https://doi.org/10.3390/s20010130

[83]          Anwary AR, Yu H, Vassallo M (2018) Optimal Foot Location for Placing Wearable IMU Sensors and Automatic Feature Extraction for Gait Analysis. IEEE Sens J 18:2555–2567. https://doi.org/10.1109/JSEN.2017.2786587

[84]          Küderle A, Roth N, Zlatanovic J, et al (2022) The placement of foot-mounted IMU sensors does affect the accuracy of spatial parameters during regular walking. PLoS One 17:e0269567. https://doi.org/10.1371/journal.pone.0269567

[85]          do Vale Garcia F, da Cunha MJ, Schuch CP, et al (2021) Movement smoothness in chronic post-stroke individuals walking in an outdoor environment-A cross-sectional study using IMU sensors. PLoS One 16:e0250100. https://doi.org/10.1371/journal.pone.0250100

[86]          Khan, S. M., et al. (2023). "The Emergence of AI-Based Wearable Sensors for Digital Health Technology: A Review." Sensors (Basel), 23(18), 7667. https://doi.org/10.3390/s23187667.

[87]          Luo, X., et al. (2025). "Reshaping the healthcare world by AI-integrated wearable sensors following COVID-19." Chemical Engineering Journal, 505, 159257.

[88]          Chen X, Zhang K, Liu H, et al (2021) A Probability Distribution Model-Based Approach for Foot Placement Prediction in the Early Swing Phase with a Wearable IMU Sensor. IEEE Transactions on Neural Systems and Rehabilitation Engineering 29:2595–2604. https://doi.org/10.1109/TNSRE.2021.3133656

[89]          Pan S, Xu XC, Chen Y, et al (2022) Fatigue Level Prediction of Lower Extremity Knee Flexor and Extensor Muscles using Neural Network. In: 2022 International Seminar on Application for Technology of Information and Communication: Technology 4.0 for Smart Ecosystem: A New Way of Doing Digital Business, iSemantic 2022. IEEE, pp 132–137

[90]          Zhang G, Wong IKK, Chen TLW, et al (2020) Identifying fatigue indicators using gait variability measures: A longitudinal study on elderly brisk walking. Sensors (Switzerland) 20:1–12. https://doi.org/10.3390/s20236983

[91]          Nagano H, James L, Sparrow WA, Begg RK (2014) Effects of walking-induced fatigue on gait function and tripping risks in older adults. J Neuroeng Rehabil 11:1–7. https://doi.org/10.1186/1743-0003-11-155

[92]          CF de O (2017) Effects of Fast-Walking on Muscle Activation in Young Adults and Elderly Persons. Journal of Novel Physiotherapy and Rehabilitation 1:012–019. https://doi.org/10.29328/journal.jnpr.1001002

[93]          Modarresi S, Divine A, Grahn JA, et al (2019) Gait parameters and characteristics associated with increased risk of falls in people with dementia: A systematic review. Int Psychogeriatr 31:1287–1303. https://doi.org/10.1017/S1041610218001783

[94]          Morris ME, Cantwell C, Vowels L, Dodd K (2002) Changes in gait and fatigue from morning to afternoon in people with multiple sclerosis. J Neurol Neurosurg Psychiatry 72:361–365. https://doi.org/10.1136/jnnp.72.3.361

[95]          Lu Z, Sun D, Xu D, et al (2021) Gait characteristics and fatigue profiles when standing on surfaces with different hardness: Gait analysis and machine learning algorithms. Biology (Basel) 10:1083. https://doi.org/10.3390/biology10111083

[96]          Flores D, Connolly CP, Campbell N, Catena RD (2018) Walking balance on a treadmill changes during pregnancy. Gait Posture 66:146–150. https://doi.org/10.1016/j.gaitpost.2018.08.035

[97]          Lymbery JK, Gilleard W (2005) The stance phase of walking during late pregnancy: Temporospatial and ground reaction force variables. J Am Podiatr Med Assoc 95:247–253. https://doi.org/10.7547/0950247

[98]          Zhang, H., et al. (2023). "Recent Advances in Artificial Intelligence Sensors." Advanced Sensor Research, 2(5), 2200051. https://doi.org/10.1002/adsr.202200051.

[99]          Hossain Bari ASM, Gavrilova ML (2019) Artificial Neural Network Based Gait Recognition Using Kinect Sensor. IEEE Access 7:162708–162722. https://doi.org/10.1109/ACCESS.2019.2952065

[100]        Sun J, Wang Y, Li J, et al (2018) View-invariant gait recognition based on kinect skeleton feature. Multimed Tools Appl 77:24909–24935. https://doi.org/10.1007/s11042-018-5722-1

[101]        Aoki K, Nishikawa H, Makihara Y, et al (2021) Physical Fatigue Detection from Gait Cycles via a Multi-Task Recurrent Neural Network. IEEE Access 9:127565–127575. https://doi.org/10.1109/ACCESS.2021.3110841

[102]        Qu X, Yeo JC (2011) Effects of load carriage and fatigue on gait characteristics. J Biomech 44:1259–1263. https://doi.org/10.1016/j.jbiomech.2011.02.016

[103] Sedighi Maman Z, Alamdar Yazdi MA, Cavuoto LA, Megahed FM (2017) A data-driven approach to modeling physical fatigue in the workplace using wearable sensors. Appl Ergon 65:515–529. https://doi.org/10.1016/j.apergo.2017.02.001

[104]        Arif M, Ohtaki Y, Nagatomi R, Inooka H (2010) Analysis of the efect of fatigue on walking gait using acceleration sensor placed on the waist. International Journ Engineering Intelligent Systems Electrical Engineering Communications 18:85

[105]        Ameli S, Naghdy F, Stirling D, et al (2019) Quantitative and non-invasive measurement of exercise-induced fatigue. Proc Inst Mech Eng P J Sport Eng Technol 233:34–45. https://doi.org/10.1177/1754337118775548

[106]        Sedighi Maman Z, Alamdar Yazdi MA, Cavuoto LA, Megahed FM (2017) A data-driven approach to modeling physical fatigue in the workplace using wearable sensors. Appl Ergon 65:515–529. https://doi.org/10.1016/j.apergo.2017.02.001

[107]        Pakbaz S, Anbarian M, Aghayari A (2018) Comparing the Effects of Fatigue Caused by the Treadmill and Overground Running on the Pattern of Plantar Pressure Distribution. Physical Treatments: Specific Physical Therapy Journal 8:169–178. https://doi.org/10.32598/ptj.8.3.169

[108]        Yan X, Rau PP, Zhong R (2019) Let Walking Rhythms Tell Your Work Fatigue : A Novel Approach for Work Fatigue Assessment among Young Adults

[109]        Farahpour N, Sharifmoradi K, Azizi S (2017) Effect of Fatigue on Knee Kinematics and Kinetics During Walking in Individuals With Flat Feet. Physical Treatments: Specific Physical Therapy Journal 7:141–148. https://doi.org/10.32598/ptj.7.3.141

[110] Dion, G., et al. (2024). In-sensor human gait analysis with machine learning in a wearable microfabricated accelerometer. Communications Engineering. https://doi.org/10.1038/s44172-024-00193-5

[111] Donahue, S. R., & Hahn, M. E. (2023). Estimation of gait events and kinetic waveforms with wearable sensors and machine learning when running in an unconstrained environment. Scientific Reports, 13, 29314. https://doi.org/10.1038/s41598-023-29314-4