A new method is presented to characterize the function of lower-limb prosthetic stance control under mobility conditions associated with activities of daily living. The method is based on a model of the gait modes corresponding to finite stance control states. Empirical data from amputee and simulated gait were acquired using a custom built wearable instrument and input into the model. The modeling approach was shown to be robust, responsive and capable of accurate characterization of controller function under diverse of locomotor and prosthetic setup conditions.
We present an open-source 3-D full-body musculoskeletal model with high-fidelity representations of the lower limb musculature of healthy young individuals that can be used to generate accurate simulations of gait. The model is implemented in the open-source software platform OpenSim.
The ability to change gait patterns in the presence of a slippery surface is essential for minimizing the risk of a slip and fall. By characterizing changes in lower-limb muscle activity and kinematics of the able-bodied population we can gain an initial estimate of how a prosthetic limb should behave on slippery surfaces to minimize the users risk of slipping.
Lower-extremity exoskeletons have been actively investigated in the past few decades intending to augment the locomotion performance of able-bodied users in terms of metabolic cost, load carrying capacity, fatigue, and muscle force generation. While development efforts have been extensive