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Nov 27, 2023 · The novelty detection is made through a multimodal approach using both voice and facial images from the individuals, although the unimodal ...
Dec 31, 2022 · The novelty detection is made through a multimodal approach using both voice and facial images from the individuals, although the unimodal ...
Nov 21, 2024 · The novelty detection is made through a multimodal approach using both voice and facial images from the individuals, although the unimodal ...
Novelty Detection in Human-Machine Interaction Through a Multimodal Approach ... human-robot interaction from audio or image inputs through sample quality ...
Since many models depend on a threshold set, an optimization method using a genetic algorithm was proposed. The novelty detection is made through a multimodal ...
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Feb 21, 2024 · I'm thrilled to share our latest paper on using photogrammetric techniques and convolutional neural networks (CNNs) to detect rock mass ...
Oct 22, 2024 · The paper describes a multi-modal scheme for human–robot interaction suited for a wide range of intelligent service robot applications.
Nov 8, 2024 · This paper investigates a multimodal approach to automatic enjoyment annotation for HRI conversa- tions, leveraging large language models (LLMs) ...
Novelty detection is the task of classifying test data that differ in some respect from the data that are available during training.
To respond to the need for effective and safe human–robot collaboration, multi-modal symbiotic communication and control methods have been used in recent years.