Zhejiang University proposes self-aware IMU network to accurately capture 3D deformation
There are currently two dominant approaches to motion capture, visual capture captures complex 3D geometric deformations
There are currently two dominant approaches to motion capture, visual capture captures complex 3D geometric deformations
With the development of technology, human-computer interaction has more and more applications in business. In the face of increasing
Movement gestures are a fundamental source of information about the activities and interactions of individual human beings, and the collection of information about people's movements
The rise of VR technology has led to the emergence of motion capture, a discipline that allows people to use body language in virtual
Animal behavior is an observable and measurable indicator that lightweight and low-cost sensor technology
Currently, deep learning has been used in human behavior recognition based on inertial measurement units (IMUs)
Inertial sensors (IMUs) are widely used in navigation, motion state studies, human movement and
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