1) Provide a quick reference for researchers regarding complex motions and scenarios
2) Enhance research, going from the laboratory settings data to the on-the-field data available
Wearable technology allows to capture data on the field, allowing new kinematics capture scenarios: interacting with the subject (for example by mobilization), running outside, going upstairs/downstairs, working at the desk, pitching on the field, walking along tens of meters.
This project will provide little by little new sets of motion data, initially mainly kinematics, which can be useful in research for several reasons:
1) explore kinematics of complex movements
2) explore new simulation opportunities
3) concentrate your time (not your attention of course) more on simulation and data interpretation rather than capturing kinematics
4) enhance your available data sets for running Opensim simulation
5) discuss and share ideas around new motions to be captured, new scenarios where you need simulation
Data will be mainly provided applying the measurement protocols called ISEO and OUTWALK published on Medical & Biological Engineering & Computing in 2008 and 2010.
A. G. Cutti, A. Giovanardi, L. Rocchi, A. Davalli, and R. Sacchetti, “Ambulatory measurement of shoulder and elbow kinematics through inertial and magnetic sensors,” Med Biol Eng Comput, vol. 46, no. 2, pp. 169–178, Feb. 2008.
A. Cutti, A. Ferrari, P. Garofalo, M. Raggi, A. Cappello, and A. Ferrari, “‘Outwalk’: a protocol for clinical gait analysis based on inertial and magnetic sensors,” Med Biol Eng Comput, Nov. 2009.
The project will mainly allow download of data sets from specific tasks, possibly linked to specific case studies. This means that each data set will be provided together with a specific clinical question or hypothesis to be verified, with the goal to be discussed, and enhanced.
When required, software tools will be provided to ease the reading of the data.