<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Affective Computing on TAO Wang's Academic Homepage</title><link>https://taowang-academic.me/en/tags/affective-computing/</link><description>Recent content in Affective Computing on TAO Wang's Academic Homepage</description><generator>Source Themes academia (https://sourcethemes.com/academic/)</generator><language>en-us</language><copyright>Copyright © 2020 Tao Wang All Rights Reserved</copyright><lastBuildDate>Thu, 01 Jan 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://taowang-academic.me/en/tags/affective-computing/index.xml" rel="self" type="application/rss+xml"/><item><title>Explainable Affective Body Expression Recognition with Multi-Scale Spatiotemporal Encoding and LLM-Based Reasoning</title><link>https://taowang-academic.me/en/publication/2026-tac/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://taowang-academic.me/en/publication/2026-tac/</guid><description>&lt;p>More details about this article are available at &lt;a href="https://doi.org/10.1109/TAFFC.2026.3675425">this link&lt;/a>.&lt;/p></description></item><item><title>Affective body expression recognition framework based on temporal and spatial fusion features</title><link>https://taowang-academic.me/en/publication/2024-kbs/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://taowang-academic.me/en/publication/2024-kbs/</guid><description>&lt;p>More details about this article are available at &lt;a href="https://doi.org/10.1016/j.knosys.2024.112744">this link&lt;/a>.&lt;/p></description></item><item><title>Decoding Metaphors and Brain Signals in Naturalistic Contexts: An Empirical Study based on EEG and MetaPro</title><link>https://taowang-academic.me/en/publication/2025-cogsci/</link><pubDate>Wed, 18 Jun 2025 00:00:00 +0000</pubDate><guid>https://taowang-academic.me/en/publication/2025-cogsci/</guid><description>&lt;p>More details about this paper are available at &lt;a href="https://doi.org/10.48448/r4p5-bq05">this link&lt;/a>.&lt;/p></description></item><item><title>Explainable Affective Body Expression Recognition</title><link>https://taowang-academic.me/en/project/affective_body_expression/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://taowang-academic.me/en/project/affective_body_expression/</guid><description>&lt;p>This project develops explainable models for recognizing affective states from full-body movement. It combines temporal-spatial feature fusion, multi-scale spatiotemporal encoding, and language-model-based interpretation to improve both recognition performance and human-readable reasoning.&lt;/p></description></item><item><title>EEG and Computational Metaphor Processing</title><link>https://taowang-academic.me/en/project/eeg_metaphor_cognition/</link><pubDate>Wed, 18 Jun 2025 00:00:00 +0000</pubDate><guid>https://taowang-academic.me/en/project/eeg_metaphor_cognition/</guid><description>&lt;p>This project investigates the neural basis of metaphor comprehension in naturalistic contexts. It integrates EEG analysis with computational metaphor processing to examine how metaphorical and literal language differ in brain activity.&lt;/p></description></item><item><title>Explainable Affective Brain-Computer Interfaces</title><link>https://taowang-academic.me/en/project/affective_bci_fusion/</link><pubDate>Sun, 01 Jun 2025 00:00:00 +0000</pubDate><guid>https://taowang-academic.me/en/project/affective_bci_fusion/</guid><description>&lt;p>This project focuses on explainable affective brain-computer interfaces. It studies how EEG functional connectivity patterns across frequency bands and brain regions can be fused to improve emotion recognition while revealing interpretable neural evidence.&lt;/p></description></item><item><title>The Affective Computing Models Based on Body Movements</title><link>https://taowang-academic.me/en/project/ieee_tac/</link><pubDate>Wed, 01 Feb 2023 00:00:00 +0000</pubDate><guid>https://taowang-academic.me/en/project/ieee_tac/</guid><description/></item></channel></rss>