Using a smart textile system for classifying occupational manual material handling tasks: evidence from lab-based simulations

References

• Akhavian, R., and A. H. Behzadan. 2016. “Smartphone-based Construction Workers' Activity Recognition and Classification.” Automation in Construction 71:198–209. doi:10.1016/j.autcon.2016.08.015.
   Web of Science ®Google Scholar
• Avci, A., S. Bosch, M. Marin-Perianu, R. Marin-Perianu, and P. Havinga. 2010. “Activity Recognition Using Inertial Sensing for Healthcare, Wellbeing and Sports Applications: A Survey.” Paper presented at the Architecture of Computing Systems (ARCS), 2010 23rd International Conference on, Hannover, Germany, 22–23 Feb. 2010.
   Google Scholar
• Bastani, K., S. Kim, Z. J. Kong, M. A. Nussbaum, and W. Huang. 2016. “Online Classification and Sensor Selection Optimization with Applications to Human Material Handling Tasks Using Wearable Sensing Technologies.” IEEE Transactions on Human-Machine Systems 46 (4):485–497.
   Web of Science ®Google Scholar
• Bergmann, J. H. M., V. Chandaria, and A. McGregor. 2012. “Wearable and Implantable Sensors: The Patient's Perspective.” Sensors (Basel, Switzerland) 12 (12):16695–16709. doi:10.3390/s121216695.
   PubMed Web of Science ®Google Scholar
• Bersch, S. D., D. Azzi, R. Khusainov, I. E. Achumba, and J. Ries. 2014. “Sensor Data Acquisition and Processing Parameters for Human Activity Classification.” Sensors 14 (3): 4239–4270. doi:10.3390/s140304239.
   PubMed Web of Science ®Google Scholar
• Bhattacharya, A. 2014. “Costs of Occupational Musculoskeletal Disorders (MSDs) in the United States.” International Journal of Industrial Ergonomics 44 (3): 448–454. doi:10.1016/j.ergon.2014.01.008.
   Web of Science ®Google Scholar
• Bulling, A., U. Blanke, and B. Schiele. 2014. “A Tutorial on Human Activity Recognition Using Body-Worn Inertial Sensors.” ACM Computing Surveys 46 (3): 1. doi:10.1145/2499621.
   Web of Science ®Google Scholar
• Caspersen, C. J., K. E. Powell, and G. M. Christenson. 1985. “Physical Activity, exercise, and Physical Fitness: Definitions and Distinctions for Health-Related Research.” Public Health Reports 100 (2): 126–131.
   PubMed Web of Science ®Google Scholar
• Ciriello, V. M., S. H. Snook, L. Hashemi, and J. Cotnam. 1999. “Distributions of Manual Materials Handling Task Parameters.” International Journal of Industrial Ergonomics 24 (4): 379–388. doi:10.1016/S0169-8141(99)00005-0.
   Web of Science ®Google Scholar
• David, G. C. 2005. “Ergonomic Methods for Assessing Exposure to Risk Factors for Work-related Musculoskeletal Disorders.” Occupational Medicine 55 (3): 190–199. doi:10.1093/occmed/kqi082.
   PubMed Web of Science ®Google Scholar
• Donath, L., O. Faude, E. Lichtenstein, C. Nuesch, and A. Mundermann. 2016. “Validity and Reliability of a Portable Gait Analysis System for Measuring Spatiotemporal Gait Characteristics: comparison to an Instrumented Treadmill.” Journal of Neuroengineering and Rehabilitation 13 (1): 6. doi:10.1186/s12984-016-0115-z.
   PubMedGoogle Scholar
• Driscoll, T., G. Jacklyn, J. Orchard, E. Passmore, T. Vos, G. Freedman, S. Lim, and L. Punnett. 2014. “The Global Burden of Occupationally Related Low Back Pain: estimates from the Global Burden of Disease 2010 Study.” Annals of the Rheumatic Diseases 73 (6): 975–981. doi:10.1136/annrheumdis-2013-204631.
   PubMed Web of Science ®Google Scholar
• Eskofier, B. M., P. Federolf, P. F. Kugler, and B. M. Nigg. 2013. “Marker-Based Classification of Young-Elderly Gait Pattern Differences via Direct PCA Feature Extraction and SVMs.” Computer Methods in Biomechanics and Biomedical Engineering 16 (4): 435–442. doi:10.1080/10255842.2011.624515.
   PubMed Web of Science ®Google Scholar
• Esposito, M., M. Macagno, and D. G. Vigano. 2015. “Sensors, Interfaces and Sensor Systems for Data Collection and Integrated Remote Monitoring of Conditions at or Near Body Surfaces.” In. USA: Google Patents.
   Google Scholar
• Gao, L., A. K. Bourke, and J. Nelson. 2014. “Evaluation of Accelerometer Based Multi-Sensor versus Single-Sensor Activity Recognition Systems.” Medical Engineering and Physics 36 (6): 779–785. doi:10.1016/j.medengphy.2014.02.012.
   PubMed Web of Science ®Google Scholar
• Hoogendoorn, W. E., M. N. M. van Poppel, P. M. Bongers, B. W. Koes, and L. M. Bouter. 1999. “Physical Load during Work and Leisure Time as Risk Factors for Back Pain.” Scandinavian Journal of Work, Environment & Health 25 (5): 387–403. doi:10.5271/sjweh.451.
   PubMed Web of Science ®Google Scholar
• Hoozemans, M. J. M., P. P. F. M. Kuijer, I. Kingma, J. H. van Dieën, W. H. K. de Vries, L. H. V. van der Woude, D. J. Veeger, A. J. van der Beek, and M. H. W. Frings-Dresen. 2004. “Mechanical Loading of the Low Back and Shoulders during Pushing and Pulling Activities.” Ergonomics 47 (1): 1–18. doi:10.1080/00140130310001593577.
   PubMed Web of Science ®Google Scholar
• Hosseinzadegan, H., O. N. Pierron, and E. Hosseinian. 2014. “Accurate Modeling of Air Shear Damping of a Silicon Lateral Rotary Micro-resonator for MEMS Environmental Monitoring Applications.” Sensors and Actuators a-Physical 216:342–348. doi:10.1016/j.sna.2014.06.008.
   Web of Science ®Google Scholar
• Hoy, D., L. March, P. Brooks, F. Blyth, A. Woolf, C. Bain, G. Williams., E. Smith, T. Vos, J. Barendregt, C. Murray, and R. Burstein, and R. Buchbinder. 2014. “The Global Burden of Low Back Pain: Estimates from the Global Burden of Disease 2010 Study.” Annals of the Rheumatic Diseases 73 (6): 968–974. doi:10.1136/annrheumdis-2013-204428.
   PubMed Web of Science ®Google Scholar
• Incel, O. D., M. Kose, and C. Ersoy. 2013. “A Review and Taxonomy of Activity Recognition on Mobile Phones.” BioNanoScience 3 (2): 145–171. doi:10.1007/s12668-013-0088-3.
   Google Scholar
• Joshua, L., and K. Varghese. 2011. “Accelerometer-based Activity Recognition in Construction.” Journal of Computing in Civil Engineering 25 (5): 370–379. doi:10.1061/(ASCE)CP.1943-5487.0000097.
   Web of Science ®Google Scholar
• Kerr, J., R. E. Patterson, K. Ellis, S. Godbole, E. Johnson, G. Lanckriet, and J. Staudenmayer. 2016. “Objective Assessment of Physical Activity: Classifiers for Public Health.” Medicine & Science in Sports & Exercise 48 (5): 951–957. doi:10.1249/MSS.0000000000000841.
   PubMed Web of Science ®Google Scholar
• Khusainov, R., D. Azzi, I. E. Achumba, and S. D. Bersch. 2013. “Real-time Human Ambulation, activity, and Physiological Monitoring: Taxonomy of Issues, techniques, applications, challenges and Limitations.” Sensors (Basel) 13 (10): 12852–12902. doi:10.3390/s131012852.
   PubMed Web of Science ®Google Scholar
• Kim, S., and M. A. Nussbaum. 2013. “Performance Evaluation of a Wearable Inertial Motion Capture System for Capturing Physical Exposures during Manual Material Handling Tasks.” Ergonomics 56 (2): 314–326. doi:10.1080/00140139.2012.742932.
   PubMed Web of Science ®Google Scholar
• Kim, S., and M. A. Nussbaum. 2014. “An Evaluation of Classification Algorithms for Manual Material Handling Tasks Based on Data Obtained Using Wearable Technologies.” Ergonomics 57 (7): 1040–1051.
   PubMed Web of Science ®Google Scholar
• Knapik, G. G., and W. S. Marras. 2009. “Spine Loading at Different Lumbar Levels during Pushing and Pulling.” Ergonomics 52 (1): 60–70. doi:10.1080/00140130802480828.
   PubMed Web of Science ®Google Scholar
• Lin, F., A. Wang, L. Cavuoto, and W. Xu. 2017. “Toward Unobtrusive Patient Handling Activity Recognition for Injury Reduction among At-Risk Caregivers.” IEEE Journal of Biomedical and Health Informatics 21 (3): 682–695. doi:10.1109/JBHI.2016.2551459.
   PubMed Web of Science ®Google Scholar
• Lonini, L., A. Gupta, K. Kording, and A. Jayaraman. 2016. “Activity Recognition in Patients with Lower Limb Impairments: Do We Need Training Data from Each Patient? Paper presented at the 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 16–20 Aug. 2016.
   Google Scholar
• Lötters, F., A. Burdorf, J. Kuiper, and H. Miedema. 2003. “Model for the Work-Relatedness of Low-Back Pain.” Scandinavian Journal of Work, Environment & Health 29 (6): 431–440. doi:10.5271/sjweh.749.
   PubMed Web of Science ®Google Scholar
• Mannini, A., and A. M. Sabatini. 2010. “Machine Learning Methods for Classifying Human Physical Activity from on-body Accelerometers.” Sensors (Basel) 10 (2): 1154–1175. doi:10.3390/s100201154.
   PubMed Web of Science ®Google Scholar
• Mokhlespour Esfahani, M. I., and M. A. Nussbaum. 2018. “Preferred Placement and Usability of a Smart Textile System vs. Inertial Measurement Units for Activity Monitoring.” Sensors (Basel, Switzerland) 18 (8): E2501. doi:10.3390/s18082501.
   PubMed Web of Science ®Google Scholar
• Mokhlespour Esfahani, M. I., A. Akbari, O. Zobeiri, E. Rashedi, and M. Parnianpour. 2018. “Sharif-Human Movement Instrumentation System (SHARIF-HMIS): Development and Validation.” Medical Engineering and Physics 61:87–94.
   PubMed Web of Science ®Google Scholar
• Mokhlespour Esfahani, M. I., S. Taghinezhad, V. Mottaghitalab, R. Narimani, and M. Parnianpour. 2016. “Novel Printed Body Worn Sensor for Measuring the Human Movement Orientation.” Sensor Review 36 (3): 321–331. doi:10.1108/SR-08-2015-0147.
   Web of Science ®Google Scholar
• Mokhlespour Esfahani, M. I., O. Zobeiri, B. Moshiri, R. Narimani, M. Mehravar, E. Rashedi, and M. Parnianpour. 2017. “Trunk Motion System (TMS) Using Printed Body Worn Sensor (BWS) via Data Fusion Approach.” Sensors (Basel) 17 (1): E112. doi:10.3390/s17010112.
   PubMed Web of Science ®Google Scholar
• Mokhlespour, E., I. Mohammad, and M. A. Nussbaum. 2018. “A “Smart” Undershirt for Tracking Upper Body Motions: Task Classification and Angle Estimation.” IEEE Sensors Journal 18 (18): 7650–7658. doi:10.1109/JSEN.2018.2859626.
   Web of Science ®Google Scholar
• Pezzack, J. C., R. W. Norman, and D. A. Winter. 1977. “An Assessment of Derivative Determining Techniques Used for Motion Analysis.” Journal of Biomechanics 10 (5–6): 377–82. doi:10.1016/0021-9290(77)90010-0.
   PubMed Web of Science ®Google Scholar
• Preece, S., J. John Goulermas, Y. Laurence Kenney, P. J. Dave Howard, K. Meijer, and R. Crompton. 2009. “Activity Identification Using Body-mounted Sensors—A Review of Classification Techniques.” Physiological Measurement 30 (4): R1. doi:10.1088/0967-3334/30/4/R01.
   PubMed Web of Science ®Google Scholar
• Schall, M. C., Jr., R. F. Sesek, and L. A. Cavuoto. 2018. “Barriers to the Adoption of Wearable Sensors in the Workplace: A Survey of Occupational Safety and Health Professionals.” Human Factors: The Journal of the Human Factors and Ergonomics Society 60 (3): 351–62. doi:10.1177/0018720817753907.
   PubMed Web of Science ®Google Scholar
• Siuly, S., Y. Li, and Y. Zhang. 2017. EEG Signal Analysis and Classification: Techniques and Applications. Cham, Switzerland: Springer.
   Google Scholar
• Smith, L., O. McCourt, A. Sawyer, M. Ucci, A. Marmot, J. Wardle, and A. Fisher. 2016. “A Review of Occupational Physical Activity and Sedentary Behaviour Correlates.” Occupational Medicine 66 (3): 185–92. doi:10.1093/occmed/kqv164.
   PubMed Web of Science ®Google Scholar
• Strath, S. J., L. A. Kaminsky, B. E. Ainsworth, U. Ekelund, P. S. Freedson, R. A. Gary, C. R. Richardson, D. T. Smith, and A. M. Swartz. 2013. “Guide to the Assessment of Physical Activity: Clinical and Research Applications: A Scientific Statement from the American Heart Association.” Circulation 128 (20): 2259–79. doi:10.1161/01.cir.0000435708.67487.da.
   PubMed Web of Science ®Google Scholar
• Valero, E., A. Sivanathan, F. Bosché, and M. Abdel-Wahab. 2016. “Musculoskeletal Disorders in Construction: A Review and a Novel System for Activity Tracking with Body Area Network.” Applied Ergonomics 54:120–30. doi:10.1016/j.apergo.2015.11.020.
   PubMed Web of Science ®Google Scholar
• Wu, J., J. Wang, and L. Liu. 2007. “Feature Extraction via KPCA for Classification of Gait Patterns.” Human Movement Science 26 (3): 393–411. doi:10.1016/j.humov.2007.01.015.
   PubMed Web of Science ®Google Scholar
• Wu, X., V. Kumar, J. Ross Quinlan, J. Ghosh, Q. Yang, H. Motoda, G. J. McLachlan, A. Ng, B. Liu, P. S. Yu, Z.-H. Zhou, M. Steinbach, D. J. Hand, and D. Steinberg. 2008. “Top 10 Algorithms in Data Mining.” Knowledge and Information Systems 14 (1): 1–37. doi:10.1007/s10115-007-0114-2.
   Web of Science ®Google Scholar