Low cost depth sensors allow user-machine interaction through body position or movements. Its ability to detect postures and movements can be applied to the ergonomic improvement of products and jobs.
Musculoskeletal disorders caused by work conditions constitute a major cause of occupational disease today. The physical load arising from the adoption of awkward postures, excessively repeated or maintained, is one of the main risk factors. The economic cost of these disorders is very high (between 0.5% and 2% of gross domestic product of the European Community). The social cost is difficult to calculate (disability, pain, drug consumption…).
The use of low cost depth sensors allows the collection of movements and postures data at high frequencies. Previous studies have analyzed the capacity of this type of sensors to be used as motion capture systems in working environments, concluding that they are accurate enough to monitor the workers physical load. The use of these sensors could allow constant, automated, real-time monitoring of the physical load.
The objective of this project is the development of techniques that allow the use of sensors RGBD in the evaluation of the physical load resulting from the development of a task, and optimizing different aspects of the job.