Towards video-based automatic lifting load prediction

Summary

Towards video-based automatic lifting load prediction is a scholarly conference abstract^[1].

Key Facts

• Towards video-based automatic lifting load prediction's instance of is recorded as scholarly conference abstract^[2].
• Towards video-based automatic lifting load prediction's page is recorded as 962-963^[3].
• Towards video-based automatic lifting load prediction's DOI is recorded as 10.1177/1071181320641230^[4].
• Towards video-based automatic lifting load prediction's language of work or name is recorded as English^[5].
• Towards video-based automatic lifting load prediction's issue is recorded as 1^[6].
• Towards video-based automatic lifting load prediction's volume is recorded as 64^[7].
• Towards video-based automatic lifting load prediction's publication date is recorded as +2020-12-01T00:00:00Z^[8].
• Towards video-based automatic lifting load prediction's sponsor is recorded as National Institute for Occupational Safety and Health^[9].
• Towards video-based automatic lifting load prediction's main subject is recorded as ergonomics^[10].
• Towards video-based automatic lifting load prediction's main subject is recorded as musculoskeletal disorder^[11].
• Towards video-based automatic lifting load prediction's main subject is recorded as exposure assessment^[12].
• Towards video-based automatic lifting load prediction's published in is recorded as Proceedings of the Human Factors and Ergonomics Society Annual Meeting^[13].
• Towards video-based automatic lifting load prediction's title is recorded as Towards video-based automatic lifting load prediction^[14].
• Towards video-based automatic lifting load prediction's author name string is recorded as Li Y^[15].
• Towards video-based automatic lifting load prediction's author name string is recorded as Greene RL^[16].
• Towards video-based automatic lifting load prediction's author name string is recorded as Mu F^[17].
• Towards video-based automatic lifting load prediction's author name string is recorded as Hu YH^[18].
• Towards video-based automatic lifting load prediction's author name string is recorded as Radwin RG^[19].
• Towards video-based automatic lifting load prediction's NIOSHTIC-2 ID is recorded as 20063349^[20].
• Towards video-based automatic lifting load prediction's on focus list of Wikimedia project is recorded as Wikimedia–NIOSH collaboration^[21].
• Towards video-based automatic lifting load prediction's funding scheme is recorded as grant^[22].
• Towards video-based automatic lifting load prediction's performing organization is recorded as University of Wisconsin–Madison^[23].
• Towards video-based automatic lifting load prediction's publication type of scholarly work is recorded as scientific publication^[24].

Body

Designation and Status

Towards video-based automatic lifting load prediction's instance of is recorded as scholarly conference abstract^[2].