The study delves into emotion recognition (ER) using electroencephalography (EEG) within virtual reality (VR) environments. It involves data acquisition, pre-processing, feature extraction, and emotion classification. A 3D VR dataset was…
Continue readingThe research presents AMuSE (Adaptive Multimodal Analysis for Speaker Emotion), a model developed for recognizing individual emotions in group conversations. This model is crucial in developing intelligent agents for natural…
Continue readingThe study proposes the use of machine learning techniques and Inertial Measurement Units (IMUs) to monitor and evaluate the execution of prescribed physical therapy exercises at home, particularly for the…
Continue readingThe article presents MERBench, a unified evaluation benchmark for multimodal emotion recognition. It addresses the problem of inconsistencies in feature extractors, evaluation methods, and experimental settings in emotion recognition research….
Continue readingThe EMPATHIC project focuses on creating an emotionally expressive virtual coach for seniors, aiming to improve well-being and promote independent aging. This paper discusses the development and performance of the…
Continue readingThis article introduces EmoCLIP, a new vision-language model that enhances learning of rich latent representations for zero-shot classification. The model is tested using zero-shot classification on four popular dynamic FER…
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