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Choreographing the Digital Canvas: A Machine Learning Approach to Artistic Performance
The platform integrates a novel machine-learning (ML) model with an interactive interface to generate and visualize artistic movements.
NatSGD: A Dataset with Speech, Gestures, and Demonstrations for Robot Learning in Natural Human-Robot Interaction
NatSGD serves as a foundational resource at the intersection of machine learning and HRI research, and we demonstrate its effectiveness in training robots to understand tasks through multimodal human commands, emphasizing the significance of jointly considering speech and gestures.
AIMusicGuru: Music Assisted Human Pose Correction
Pose Estimation techniques rely on visual cues available through observations represented in the form of pixels.
Hybrid Backpropagation Parallel Reservoir Networks
In many real-world applications, fully-differentiable RNNs such as LSTMs and GRUs have been widely deployed to solve time series learning tasks.
