However, taking advantage of the energy in these small motions is challenging.
System identification of large real-life structures with nonlinear behavior subjected to unknown dynamic loading such as strong ground motions is challenging.
It should be noted that designing a common model for the content identification/classification directly from slow-motion segments is challenging since the camera angles or the ways of displaying replays may vary considerably in ball games.
Alternatively, visual estimation of range of motion in degrees is challenging with the subject in a supine position.
Motion analysis of the shoulder is challenging owing to the high range of motion (ROM) of the shoulder.
The management of motion loss of the knee is challenging.
However, the motion control of a humanoid robot is challenging because the contact forces are constrained.
Modeling of the motion of a skid-steered robot is challenging since slippage and skidding is inherent to this type of platform and it requires high torques to perform curvilinear motion.
Motion analysis of the upper extremity is challenging because of the great glenohumeral ROM.
However, targeting drugs to the heart is challenging, owing to its dynamic mechanical motions and large cardiac output.
