Accuracy of an Algorithm Using Motion Data of Five Wearable IMU Sensors for Estimating Lifting Duration and Lifting Risk Factors

Details

• Personal Author:
  Barim MS ; Feng S ; Hayden M ; Hughes G ; Lu M-L ; Werren D
• Description:
  The objective of this study was to assess the accuracy of an algorithm for processing data from five inertial measurement unit (IMU) sensors for measuring the vertical distance (V) and horizontal distance (H) of two handed lifting, trunk flexion angle (T) and lifting duration (LD). The sensors were placed on five body segments including the left wrist, right wrist, upper arm of the dominant hand, upper back, and thigh of the dominant leg. A laboratory-grade optical motion capture system was used as the ground truth for the assessment. Data were collected on ten subjects that performed 12 two-handed lifting tasks varying in height of the hands and horizontal distance between the body and the lifted object. Results showed that the algorithm performed well for determining the LD (approximately 1 sec error) and T (approximately 2 degree error). The average errors for V and H were about 33 and 6.5 cm, respectively. [Description provided by NIOSH]
• Subjects:
  Coal Coal Mining Mining Occupational Health Radio Waves Safety
• Keywords:
  Algorithms Computer Equipment Computers Exposure Levels Extremities Lifting Manual Lifting Musculoskeletal System Posture Risk Factors Sensors Wearable Technologies

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• ISSN:
  1071-1813
• Publisher:
  Human Factors and Ergonomics Society
• Document Type:
  Text
• Genre:
  Proceedings
• Place as Subject:
  California ; Ohio ; OSHA Region 5 ; OSHA Region 9
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  DFSE - Division of Field Studies and Engineering
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  63
• Issue:
  1
• NIOSHTIC Number:
  nn:20058255
• Citation:
  Proceedings of the Human Factors and Ergonomics Society 63rd Annual Meeting, October 28 - November 1, 2019, Seattle, Washington. Santa Monica, CA: Human Factors and Ergonomics Society, 2019 Nov; 63(1):1105-1111
• Contact Point Address:
  Menekse S. Barim, National Institute for Occupational Safety and Health, Cincinnati, Ohio
• Federal Fiscal Year:
  2020
• NORA Priority Area:
  Manufacturing
• Peer Reviewed:
  True
• Source Full Name:
  Proceedings of the Human Factors and Ergonomics Society 63rd Annual Meeting, October 28 - November 1, 2019, Seattle, Washington
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:7b556df04c01891aadaaaf27f0a7ec2b5c7ccf984f853fd8a17beb148d0b9b6d7521e095b59ff7c1b785f34648e72a448a1a02e28bba87e60ff00309323ab7f0
• Download URL:
  https://stacks.cdc.gov/view/cdc/221385/cdc_221385_DS1.pdf
• File Type:
  [PDF - 2.28 MB ]