找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Affective Computing and Intelligent Interaction; Fourth International Sidney D’Mello,Arthur Graesser,Jean-Claude Martin Conference proceedi

[復(fù)制鏈接]
樓主: squamous-cell
41#
發(fā)表于 2025-3-28 16:23:31 | 只看該作者
42#
發(fā)表于 2025-3-28 18:56:48 | 只看該作者
Matias Zegers Ruíz-Tagle,Carla Meza Moralesples interacting about a problem in their relationship. We extract features from both the audio and the transcriptions and apply the Diverse Density-Support Vector Machine framework. Apart from attaining classification on the expert annotations, this framework also allows us to estimate salient regions of the complex interaction.
43#
發(fā)表于 2025-3-28 23:37:26 | 只看該作者
44#
發(fā)表于 2025-3-29 06:17:16 | 只看該作者
Using Individual Light Rigs to Control the Perception of a Virtual Character’s Personalityetups do influence the perception of the characters’ personality. We found lighting effects with regard to the perception of dominance. Moreover, we found that the personality perception of female characters seems to change more easily than for male characters.
45#
發(fā)表于 2025-3-29 08:28:26 | 只看該作者
Multiple Instance Learning for Classification of Human Behavior Observationsples interacting about a problem in their relationship. We extract features from both the audio and the transcriptions and apply the Diverse Density-Support Vector Machine framework. Apart from attaining classification on the expert annotations, this framework also allows us to estimate salient regions of the complex interaction.
46#
發(fā)表于 2025-3-29 11:47:37 | 只看該作者
Conference proceedings 2011 affect-sensitive applications, methodological issues in affective computing, affective and social robotics, affective and behavioral interfaces, relevant insights from psychology, affective databases, Evaluation and annotation tools.
47#
發(fā)表于 2025-3-29 18:08:11 | 只看該作者
https://doi.org/10.1007/978-3-8349-8414-2, and Self Assessment Manikins. Finally, we present results of two usability tests observing the ability to identify emotions in labelling and comparing the transcription tool “Folker” with our application.
48#
發(fā)表于 2025-3-29 19:56:21 | 只看該作者
Muhammet Mikdat Akbaba,Onur ?etinle sources of evidence. During a 7 day, 13 participant field study we found that recognition accuracy for physiological activation improved from 63% to 79% with two sources of evidence and in an additional pilot study this improved to 100% accuracy for one subject over 10 days when context evidence was also included.
49#
發(fā)表于 2025-3-30 03:32:51 | 只看該作者
50#
發(fā)表于 2025-3-30 06:47:25 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-21 13:31
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
云安县| 宕昌县| 丰台区| 石林| 甘谷县| 德兴市| 罗城| 巴东县| 桑植县| 浑源县| 肇州县| 双辽市| 绵竹市| 合水县| 郧西县| 婺源县| 山西省| 容城县| 古浪县| 常山县| 中阳县| 广东省| 葵青区| 万山特区| 沂南县| 海淀区| 安阳县| 丹东市| 资源县| 甘谷县| 灯塔市| 南康市| 洛川县| 甘南县| 玉溪市| 永宁县| 民勤县| 阿克苏市| 尤溪县| 宝清县| 小金县|