3 accepted papers
The numbering of Tables I and II in [1] was inconsistent with the text and their captions referred to the wrong datasets. The correct tables are shown in Tables I and II. Reference [19] in Table II refers to the reference list in [1].
Deep neural networks designed for vision tasks are often prone to failure when they encounter environmental conditions not covered by the training data. Single-modal strategies are insufficient when the sensor fails to acquire information due to malfunction or its design limitations. Multi-sensor co
For successful physical human-robot interaction, the capability of a robot to understand its environment is imperative. More importantly, the robot should extract from the human operator as much information as possible. A reliable 3D skeleton extraction is essential for a robot to predict the intent…