Automated video lifting posture classification using bounding box dimensions

Summary

Automated video lifting posture classification using bounding box dimensions is a conference paper^[1].

Key Facts

• Automated video lifting posture classification using bounding box dimensions authored Ming-Lun Lu^[2].
• Automated video lifting posture classification using bounding box dimensions's instance of is recorded as conference paper^[3].
• Automated video lifting posture classification using bounding box dimensions's DOI is recorded as 10.1007/978-3-319-96083-8_72^[4].
• Automated video lifting posture classification using bounding box dimensions's part of is recorded as Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Volume III: Musculoskeletal Disorders^[5].
• Automated video lifting posture classification using bounding box dimensions's language of work or name is recorded as English^[6].
• Automated video lifting posture classification using bounding box dimensions's publication date is recorded as +2018-08-04T00:00:00Z^[7].
• Automated video lifting posture classification using bounding box dimensions's sponsor is recorded as NIOSH Division of Applied Research and Technology^[8].
• Automated video lifting posture classification using bounding box dimensions's main subject is recorded as musculoskeletal system^[9].
• Automated video lifting posture classification using bounding box dimensions's main subject is recorded as risk assessment^[10].
• Automated video lifting posture classification using bounding box dimensions's main subject is recorded as exposure assessment^[11].
• Automated video lifting posture classification using bounding box dimensions's main subject is recorded as musculoskeletal disorder^[12].
• Automated video lifting posture classification using bounding box dimensions's published in is recorded as Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Volume III: Musculoskeletal Disorders^[13].
• Automated video lifting posture classification using bounding box dimensions's title is recorded as Automated video lifting posture classification using bounding box dimensions^[14].
• Automated video lifting posture classification using bounding box dimensions's author name string is recorded as Greene R^[15].
• Automated video lifting posture classification using bounding box dimensions's author name string is recorded as Hu YH^[16].
• Automated video lifting posture classification using bounding box dimensions's author name string is recorded as Difranco N^[17].
• Automated video lifting posture classification using bounding box dimensions's author name string is recorded as Bao S^[18].
• Automated video lifting posture classification using bounding box dimensions's author name string is recorded as Lin J-H^[19].
• Automated video lifting posture classification using bounding box dimensions's author name string is recorded as Radwin RG^[20].
• Automated video lifting posture classification using bounding box dimensions's author name string is recorded as Xuan Wang^[21].
• Automated video lifting posture classification using bounding box dimensions's NIOSHTIC-2 ID is recorded as 20052745^[22].
• Automated video lifting posture classification using bounding box dimensions's on focus list of Wikimedia project is recorded as Wikimedia–NIOSH collaboration^[23].
• Automated video lifting posture classification using bounding box dimensions's funding scheme is recorded as grant^[24].
• Automated video lifting posture classification using bounding box dimensions's performing organization is recorded as University of Wisconsin–Madison^[25].

Body

Geography

Automated video lifting posture classification using bounding box dimensions's part of is recorded as Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Volume III: Musculoskeletal Disorders^[5].

Designation and Status

Automated video lifting posture classification using bounding box dimensions's instance of is recorded as conference paper^[3].