{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T04:21:07Z","timestamp":1774585267089,"version":"3.50.1"},"reference-count":75,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2021,2,9]],"date-time":"2021-02-09T00:00:00Z","timestamp":1612828800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Abnormalities and irregularities in walking (gait) are predictors and indicators of both disease and injury. Gait has traditionally been monitored and analyzed in clinical settings using complex video (camera-based) systems, pressure mats, or a combination thereof. Wearable gait sensors offer the opportunity to collect data in natural settings and to complement data collected in clinical settings, thereby offering the potential to improve quality of care and diagnosis for those whose gait varies from healthy patterns of movement. This paper presents a gait monitoring system designed to be worn on the inner knee or upper thigh. It consists of low-power Hall-effect sensors positioned on one leg and a compact magnet positioned on the opposite leg. Wireless data collected from the sensor system were used to analyze stride width, stride width variability, cadence, and cadence variability for four different individuals engaged in normal gait, two types of abnormal gait, and two types of irregular gait. Using leg gap variability as a proxy for stride width variability, 81% of abnormal or irregular strides were accurately identified as different from normal stride. Cadence was surprisingly 100% accurate in identifying strides which strayed from normal, but variability in cadence provided no useful information. This highly sensitive, non-contact Hall-effect sensing method for gait monitoring offers the possibility for detecting visually imperceptible gait variability in natural settings. These nuanced changes in gait are valuable for predicting early stages of disease and also for indicating progress in recovering from injury.<\/jats:p>","DOI":"10.3390\/s21041206","type":"journal-article","created":{"date-parts":[[2021,2,10]],"date-time":"2021-02-10T04:33:46Z","timestamp":1612931626000},"page":"1206","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["Abnormal Gait Detection Using Wearable Hall-Effect Sensors"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1524-7295","authenticated-orcid":false,"given":"Courtney","family":"Chheng","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, University of Washington Bothell, Bothell, WA 98011, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2367-8602","authenticated-orcid":false,"given":"Denise","family":"Wilson","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Washington Seattle, Seattle, WA 98195, USA"}]}],"member":"1968","published-online":{"date-parts":[[2021,2,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1016\/j.humov.2016.03.010","article-title":"Gait Variability in People with Neurological Disorders: A Systematic Review and Meta-Analysis","volume":"47","author":"Moon","year":"2016","journal-title":"Hum. Mov. Sci."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1050","DOI":"10.1053\/apmr.2001.24893","article-title":"Gait Variability and Fall Risk in Community-Living Older Adults: A 1-Year Prospective Study","volume":"82","author":"Hausdorff","year":"2001","journal-title":"Arch. Phys. Med. Rehabil."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"431","DOI":"10.1016\/j.gaitpost.2007.05.016","article-title":"Stance Time and Step Width Variability Have Unique Contributing Impairments in Older Persons","volume":"27","author":"Brach","year":"2008","journal-title":"Gait Posture"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"566","DOI":"10.1007\/s00415-010-5789-8","article-title":"Gait Variability in Parkinson\u2019s Disease: An Indicator of Non-Dopaminergic Contributors to Gait Dysfunction?","volume":"258","author":"Lord","year":"2011","journal-title":"J. Neurol."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"428","DOI":"10.1002\/mds.870130310","article-title":"Gait Variability and Basal Ganglia Disorders: Stride-to-Stride Variations of Gait Cycle Timing in Parkinson\u2019s Disease and Huntington\u2019s Disease","volume":"13","author":"Hausdorff","year":"1998","journal-title":"Mov. Disord."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Mileti, I., Taborri, J., Rossi, S., Petrarca, M., Patane, F., and Cappa, P. (2016, January 15\u201318). Evaluation of the Effects on Stride-to-Stride Variability and Gait Asymmetry in Children with Cerebral Palsy Wearing the WAKE-up Ankle Module. Proceedings of the 2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA), Benevento, Italy.","DOI":"10.1109\/MeMeA.2016.7533748"},{"key":"ref_7","unstructured":"Chakravarthy, Y.K. (2018). Design and Development of an Indigenous and Intelligent Transfemoral Prosthetic Leg. [Ph.D. Thesis, Koneru Lakshmaiah Education Foundation]."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"580","DOI":"10.1016\/j.gaitpost.2012.09.025","article-title":"Is Gait Variability Reliable in Older Adults and Parkinson\u2019s Disease? Towards an Optimal Testing Protocol","volume":"37","author":"Galna","year":"2013","journal-title":"Gait Posture"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/1743-0003-2-21","article-title":"Too Much or Too Little Step Width Variability Is Associated with a Fall History in Older Persons Who Walk at or near Normal Gait Speed","volume":"2","author":"Brach","year":"2005","journal-title":"J. Neuroeng. Rehabil."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1007\/s40520-015-0420-6","article-title":"The Effect of Aging on Gait Parameters in Able-Bodied Older Subjects: A Literature Review","volume":"28","author":"Aboutorabi","year":"2016","journal-title":"Aging Clin. Exp. Res."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"648","DOI":"10.1016\/j.gaitpost.2013.02.016","article-title":"Insights into Gait Disorders: Walking Variability Using Phase Plot Analysis, Parkinson\u2019s Disease","volume":"38","author":"Esser","year":"2013","journal-title":"Gait Posture"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1016\/S0022-3956(00)00017-0","article-title":"Spatiotemporal Gait Patterns during over Ground Locomotion in Major Depression Compared with Healthy Controls","volume":"34","author":"Lemke","year":"2000","journal-title":"J. Psychiatr. Res."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jbiomech.2018.05.017","article-title":"Acute Changes in Foot Strike Pattern and Cadence Affect Running Parameters Associated with Tibial Stress Fractures","volume":"76","author":"Yong","year":"2018","journal-title":"J. Biomech."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"368","DOI":"10.1136\/jnnp.2007.131045","article-title":"Parkinson\u2019s Disease: Clinical Features and Diagnosis","volume":"79","author":"Jankovic","year":"2008","journal-title":"J. Neurol. Neurosurg. Psychiatry"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"2255","DOI":"10.3390\/s120202255","article-title":"Gait Analysis Using Wearable Sensors","volume":"12","author":"Tao","year":"2012","journal-title":"Sensors"},{"key":"ref_16","unstructured":"Bonato, P., De Rossi, D., Dittmar, A., Jayaraman, S., Korhonen, I., Lymberis, A., Adams, E.M., and Zhang, Y.-T. (2006, January 3\u20135). IEEE EMBS Technical Committee on Wearable Biomedical Sensors & Systems: Position Paper. Proceedings of the International Workshop on Wearable and Implantable Body Sensor Networks (BSN\u201906), Cambridge, MA, USA."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"3119","DOI":"10.1109\/JSEN.2014.2357257","article-title":"Recent Advances in Wearable Sensors for Health Monitoring","volume":"15","author":"Rodgers","year":"2015","journal-title":"IEEE Sens. J."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Majumder, S., Mondal, T., and Deen, M. (2017). Wearable Sensors for Remote Health Monitoring. Sensors, 17.","DOI":"10.3390\/s17010130"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1109\/TITB.2007.899493","article-title":"Gait Analysis Using a Shoe-Integrated Wireless Sensor System","volume":"12","author":"Bamberg","year":"2008","journal-title":"IEEE Trans. Inf. Technol. Biomed."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1394","DOI":"10.1016\/j.amjmed.2019.06.018","article-title":"Is There a Benefit to Patients Using Wearable Devices Such as Fitbit or Health Apps on Mobiles? A Systematic Review","volume":"132","author":"Jo","year":"2019","journal-title":"Am. J. Med."},{"key":"ref_21","unstructured":"(2020, December 30). Harnessing Wearable Device Data to Improve State-Level Real-Time Surveillance of Influenza-like Illness in the USA: A Population-Based Study\u2014The Lancet Digital Health. Available online: https:\/\/www.thelancet.com\/journals\/landig\/article\/PIIS2589-7500(19)30222-5\/fulltext."},{"key":"ref_22","unstructured":"Brown, D. (2020, December 30). \u201cIt Saved My Life\u201d: Apple Watch, Fitbit Are Notifying Users of Medical Emergencies. Available online: https:\/\/www.usatoday.com\/story\/tech\/2019\/02\/20\/can-smartwatches-literally-save-lives-some-users-say-yes\/2646598002\/."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"S111","DOI":"10.1016\/j.ymgme.2018.12.281","article-title":"Potential Benefits of Fitbit Device in Managing a Patient with Mucopolysaccharidosis","volume":"126","author":"Oldham","year":"2019","journal-title":"Mol. Genet. Metab."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1016\/j.jsat.2017.07.006","article-title":"Developing a Fitbit-Supported Lifestyle Physical Activity Intervention for Depressed Alcohol Dependent Women","volume":"80","author":"Abrantes","year":"2017","journal-title":"J. Subst. Abuse Treat."},{"key":"ref_25","unstructured":"(2020, December 30). IDC\u2014Wearable Devices Market Share. Available online: https:\/\/www.idc.com\/promo\/wearablevendor."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Wu, X., Chen, X., Duan, Y., Xu, S., Cheng, N., and An, N. (2017, January 13\u201316). A Study on Gait-Based Parkinson\u2019s Disease Detection Using a Force Sensitive Platform. Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Kansas City, MO, USA.","DOI":"10.1109\/BIBM.2017.8218048"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"3362","DOI":"10.3390\/s140203362","article-title":"Gait Analysis Methods: An Overview of Wearable and Non-Wearable Systems, Highlighting Clinical Applications","volume":"14","year":"2014","journal-title":"Sensors"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Kobsar, D., Masood, Z., Khan, H., Khalil, N., Kiwan, M.Y., Ridd, S., and Tobis, M. (2020). Wearable Inertial Sensors for Gait Analysis in Adults with Osteoarthritis\u2014A Scoping Review. Sensors, 20.","DOI":"10.3390\/s20247143"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"3534","DOI":"10.1109\/TBME.2019.2907322","article-title":"Smoother-Based 3-D Foot Trajectory Estimation Using Inertial Sensors","volume":"66","author":"Hao","year":"2019","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Yu, T.-H., and Wu, C.-C. (2019, January 7\u201310). An Accelerometer Based Gait Analysis System to Detect Gait Abnormalities in Cerebralspinal Meningitis Patients. Proceedings of the 2019 International Conference on Machine Learning and Cybernetics (ICMLC), Kobe, Japan.","DOI":"10.1109\/ICMLC48188.2019.8949256"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"4234","DOI":"10.1109\/JSEN.2018.2814994","article-title":"Wearable Sensor System for Detecting Gait Parameters of Abnormal Gaits: A Feasibility Study","volume":"18","author":"Li","year":"2018","journal-title":"IEEE Sens. J."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"822","DOI":"10.1097\/00002060-200211000-00004","article-title":"Comparison of Pressure and Time Parameters in Evaluating Diabetic Footwear","volume":"81","author":"Hsi","year":"2002","journal-title":"Am. J. Phys. Med. Rehabil."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Bai, O., Atri, R., Marquez, J.S., and Fei, D.-Y. (2017, January 8\u201310). Characterization of Lower Limb Activity during Gait Using Wearable, Multi-Channel Surface EMG and IMU Sensors. Proceedings of the 2017 International Electrical Engineering Congress (iEECON), Pattaya, Thailand.","DOI":"10.1109\/IEECON.2017.8075872"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"3142","DOI":"10.1109\/JSEN.2017.2686641","article-title":"Sensor Optimization in Smart Insoles for Post-Stroke Gait Asymmetries Using Total Variation and L 1 Distances","volume":"17","author":"Parker","year":"2017","journal-title":"IEEE Sens. J."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"15888","DOI":"10.3390\/s150715888","article-title":"Foot Pose Estimation Using an Inertial Sensor Unit and Two Distance Sensors","volume":"15","author":"Duong","year":"2015","journal-title":"Sensors"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"396","DOI":"10.1080\/10255842.2015.1032945","article-title":"Estimation of Temporal Gait Parameters Using Bayesian Models on Acceleration Signals","volume":"19","author":"Sanpablo","year":"2016","journal-title":"Comput. Methods Biomech. Biomed. Eng."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Makino, K., Nakamura, M., Omori, H., and Terada, H. (2015, January 3\u20135). Gait Analysis Using Gravity-Center Fluctuation of the Sole at Walking Based on Self-Organizing Map. Proceedings of the 2015 IEEE 24th International Symposium on Industrial Electronics (ISIE), Rio de Janeiro, Brazil.","DOI":"10.1109\/ISIE.2015.7281590"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"817","DOI":"10.1109\/TNSRE.2014.2357686","article-title":"Ambulatory Estimation of Relative Foot Positions by Fusing Ultrasound and Inertial Sensor Data","volume":"23","author":"Weenk","year":"2015","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"685","DOI":"10.1109\/TNSRE.2013.2287241","article-title":"Automatic Identification and Classification of Freezing of Gait Episodes in Parkinson\u2019s Disease Patients","volume":"22","author":"Jovicic","year":"2014","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"18800","DOI":"10.3390\/s141018800","article-title":"Toward Real-Time Automated Detection of Turns during Gait Using Wearable Inertial Measurement Units","volume":"14","author":"Novak","year":"2014","journal-title":"Sensors"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"16212","DOI":"10.3390\/s140916212","article-title":"A Novel HMM Distributed Classifier for the Detection of Gait Phases by Means of a Wearable Inertial Sensor Network","volume":"14","author":"Taborri","year":"2014","journal-title":"Sensors"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"5614","DOI":"10.3390\/s130505614","article-title":"Inertial Sensor-Based Two Feet Motion Tracking for Gait Analysis","volume":"13","author":"Hung","year":"2013","journal-title":"Sensors"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1109\/TBME.2012.2223465","article-title":"A Novel Approach to Reducing Number of Sensing Units for Wearable Gait Analysis Systems","volume":"60","author":"Salarian","year":"2013","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Sayeed, T., Sama, A., Catala, A., and Cabestany, J. (2013, January 9\u201312). Comparative and Adaptation of Step Detection and Step Length Estimators to a Lateral Belt Worn Accelerometer. Proceedings of the 2013 IEEE 15th International Conference on e-Health Networking, Applications and Services (Healthcom 2013), Lisbon, Portugal.","DOI":"10.1109\/HealthCom.2013.6720648"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"10240","DOI":"10.3390\/s101110240","article-title":"A Wearable Ground Reaction Force Sensor System and Its Application to the Measurement of Extrinsic Gait Variability","volume":"10","author":"Liu","year":"2010","journal-title":"Sensors"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"978","DOI":"10.1016\/j.measurement.2009.02.002","article-title":"Development of a Wearable Sensor System for Quantitative Gait Analysis","volume":"42","author":"Liu","year":"2009","journal-title":"Measurement"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"895","DOI":"10.1109\/TBME.2006.889769","article-title":"Ambulatory Assessment of Ankle and Foot Dynamics","volume":"54","author":"Schepers","year":"2007","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"640","DOI":"10.1007\/s00421-004-1246-7","article-title":"Gait Characteristics in People with Type 2 Diabetes Mellitus","volume":"93","author":"Petrofsky","year":"2005","journal-title":"Eur. J. Appl. Physiol."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"1434","DOI":"10.1109\/TBME.2004.827933","article-title":"Gait Assessment in Parkinson\u2019s Disease: Toward an Ambulatory System for Long-Term Monitoring","volume":"51","author":"Salarian","year":"2004","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"288","DOI":"10.1109\/TNSRE.2003.818185","article-title":"Design, Development, and Characteristics of an in-Shoe Triaxial Pressure Measurement Transducer Utilizing a Single Element of Piezoelectric Copolymer Film","volume":"11","author":"Razian","year":"2003","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"689","DOI":"10.1016\/S0021-9290(02)00008-8","article-title":"Spatio-Temporal Parameters of Gait Measured by an Ambulatory System Using Miniature Gyroscopes","volume":"35","author":"Aminian","year":"2002","journal-title":"J. Biomech."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"837","DOI":"10.1016\/S0021-9290(02)00032-5","article-title":"Ultrasonic Motion Analysis System\u2014Measurement of Temporal and Spatial Gait Parameters","volume":"35","author":"Huitema","year":"2002","journal-title":"J. Biomech."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"753","DOI":"10.1109\/10.605434","article-title":"Long-Term Unrestrained Measurement of Stride Length and Walking Velocity Utilizing a Piezoelectric Gyroscope","volume":"44","author":"Miyazaki","year":"1997","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Lee, C.-N., Fong, V.H., Chu, Y.-T., Cheng, L., Chuang, H.-W., and Lo, C.-Y. (2018, January 15\u201318). A Wearable Device Of Gait Tracking For Parkinson\u2019S Disease Patients. Proceedings of the 2018 International Conference on Machine Learning and Cybernetics (ICMLC), Chengdu, China.","DOI":"10.1109\/ICMLC.2018.8527011"},{"key":"ref_55","unstructured":"(2021, January 21). Gait Abnormalities. Available online: https:\/\/stanfordmedicine25.stanford.edu\/the25\/gait.html."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/S1474-4422(06)70678-0","article-title":"Neurological Gait Disorders in Elderly People: Clinical Approach and Classification","volume":"6","author":"Snijders","year":"2007","journal-title":"Lancet Neurol."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1519\/JPT.0000000000000020","article-title":"Balance and Gait of Adults With Very Mild Alzheimer Disease","volume":"38","author":"Gras","year":"2015","journal-title":"J. Geriatr. Phys. Ther."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"278","DOI":"10.1016\/S0003-9993(97)90034-4","article-title":"Increased Gait Unsteadiness in Community-Dwelling Elderly Fallers","volume":"78","author":"Hausdorff","year":"1997","journal-title":"Arch. Phys. Med. Rehabil."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1159\/000350031","article-title":"The Relationship between Executive Function and Falls and Gait Abnormalities in Older Adults: A Systematic Review","volume":"36","author":"Kearney","year":"2013","journal-title":"Dement. Geriatr. Cogn. Disord."},{"key":"ref_60","unstructured":"Laovoravit, T.D., Stomberg, N.A., and Lam, B.L. (2021, February 09). MagneForce: Validation of a Modular Tri-Axial Force Sensor for Gait Analysis. Major Qualifying Project Report. Worcester Polytechnic Institute: Worcester, MA, 2017. Available online: https:\/\/digital.wpi.edu\/concern\/student_works\/wh246t61d?locale=en."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"6271","DOI":"10.1109\/JSEN.2015.2451361","article-title":"Locally Linear Neuro-Fuzzy Estimate of the Prosthetic Knee Angle and Its Validation in a Robotic Simulator","volume":"15","author":"Arami","year":"2015","journal-title":"IEEE Sens. J."},{"key":"ref_62","unstructured":"(2021, January 21). Allegro MicroSystems\u2014A1301 and A1302: Continuous-Time Ratiometric Linear Hall Effect Sensor ICs. Available online: https:\/\/www.allegromicro.com\/en\/products\/discontinued-product-archive\/a1301-2."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1080\/01621459.1952.10483441","article-title":"Use of Ranks in One-Criterion Variance Analysis","volume":"47","author":"Kruskal","year":"1952","journal-title":"J. Am. Stat. Assoc."},{"key":"ref_64","unstructured":"Olkin, I., and Olkin, I. (1960). Contributions to Probability and Statistics, Stanford University Press."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1080\/01621459.1967.10482916","article-title":"On the Kolmogorov-Smirnov Test for Normality with Mean and Variance Unknown","volume":"62","author":"Lilliefors","year":"1967","journal-title":"J. Am. Stat. Assoc."},{"key":"ref_66","unstructured":"Bulmer, M.G. (1979). Principles of Statistics, Dover Publications."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"991","DOI":"10.1080\/01621459.1986.10478363","article-title":"Performance of Some Resistant Rules for Outlier Labeling","volume":"81","author":"Hoaglin","year":"1986","journal-title":"J. Am. Stat. Assoc."},{"key":"ref_68","unstructured":"(2021, February 09). Allegro MicroSystems: Hall-Effect Sensors Consume Very Little Power. Available online: https:\/\/www.eetimes.com\/allegro-microsystems-hall-effect-sensors-consume-very-little-power\/#."},{"key":"ref_69","unstructured":"(2021, January 21). Piezo Film Vibration Sensor\/Switch. Available online: https:\/\/www.te.com\/usa-en\/product-CAT-PFS0006.html."},{"key":"ref_70","unstructured":"(2021, January 21). ADXRS290 Datasheet and Product Info |Analog Devices. Available online: https:\/\/www.analog.com\/en\/products\/adxrs290.html#."},{"key":"ref_71","unstructured":"(2021, January 21). MTI-1-T XSens Technologies BV|Sensors, Transducers|DigiKey. Available online: https:\/\/www.digikey.com\/en\/products\/detail\/xsens-technologies-bv\/MTI-1-T\/5773873."},{"key":"ref_72","unstructured":"(2021, January 21). Pololu\u2014Sharp GP2Y0A41SK0F Analog Distance Sensor 4\u201330 cm. Available online: https:\/\/www.pololu.com\/product\/2464\/specs."},{"key":"ref_73","unstructured":"(2021, January 21). URM07-UART_Ultrasonic_Sensor_SKU__SEN0153-DFRobot. Available online: https:\/\/wiki.dfrobot.com\/URM07-UART_Ultrasonic_Sensor_SKU__SEN0153."},{"key":"ref_74","unstructured":"Inc, I.E. (2021, January 21). FSR 400. Available online: https:\/\/www.interlinkelectronics.com\/fsr-400."},{"key":"ref_75","unstructured":"(2021, January 21). ADXL202 Datasheet and Product Info|Analog Devices. Available online: https:\/\/www.analog.com\/en\/products\/adxl202.html#product-overview."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/4\/1206\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T05:21:50Z","timestamp":1760160110000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/4\/1206"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,9]]},"references-count":75,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2021,2]]}},"alternative-id":["s21041206"],"URL":"https:\/\/doi.org\/10.3390\/s21041206","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,2,9]]}}}