Despite automation and improved-working conditions, many materials in
industry are still handled manually. Among the basic activities involv
ed in manual materials handling, lifting is the one most frequently as
sociated with low-back pain (LBP). Biomechanical analysis techniques h
ave been used to better understand the risk factors associated with ma
nual handling, but because these techniques require specialized equipm
ent, highly trained personnel, and interfere with normal business oper
ations, they are limited in their usefulness. A video based lifting te
chnique analysis system (the VidLiTeC(TM) System) is presented that pr
ovides for quantifiable non-invasive biomechanical analysis of the dyn
amic features of lifting with high inter-coder reliability and low sen
sitivity to absolute errors. Analysis of results from a laboratory exp
eriment and from field-collected videotape are described that support
the reliability, sensitivity, and accuracy claims of the VidLiTeC(TM)
System. The VidLiTeC(TM) System allows technicians with minimal traini
ng and low-tech equipment (a camcorder) to collect large sets of lifti
ng data without interfering with normal business operations. A reasona
bly accurate estimate of the peak compressive force on the L5/S1 joint
can be made from the data collected. Such a system can be used to col
lect quantified data on lifting techniques that can be related to LBP
reporting.