"A framework to adjust sitting postures based on
musculoskeletal models is presented in this paper. After the
analysis of muscles and strength, some “comfortable” postures
are specified as candidate postures. An optimization algorithm
is then applied to choose from these candidates, according to
current conditions of muscles and the durations one needs, and
form a sequence of ordered postures for the sitters. The sitters
shift the postures dynamically before they feel uncomfortable,
therefore they can maintain a seated posture for extended
durations. The ergonomists can also benefit from the
information of intermittent postures and use it as a guideline
for a new chair/desk design. "
Relation:
Proceedings of the 11th IEEE Int'l Conf. on Bioinformatics and Bioengineering