Proceedings of the 16th International Conference on Multimodal Interaction最新文献_第7页

Session details: Oral Session 4: Nonverbal Behaviors 会话详情:口语会话4:非语言行为

Proceedings of the 16th International Conference on Multimodal Interaction Pub Date : 2014-11-12 DOI: 10.1145/3246747

B. Sankur

引用次数: 0

Emotion Recognition in Real-world Conditions with Acoustic and Visual Features 声音和视觉特征在真实世界条件下的情感识别

Proceedings of the 16th International Conference on Multimodal Interaction Pub Date : 2014-11-12 DOI: 10.1145/2663204.2666279

M. Sidorov, W. Minker

引用次数: 7

Improved Spatiotemporal Local Monogenic Binary Pattern for Emotion Recognition in The Wild 基于改进时空局部单基因二元模式的野外情绪识别

Proceedings of the 16th International Conference on Multimodal Interaction Pub Date : 2014-11-12 DOI: 10.1145/2663204.2666278

Xiaohua Huang, Qiuhai He, Xiaopeng Hong, Guoying Zhao, M. Pietikäinen

{"title":"Improved Spatiotemporal Local Monogenic Binary Pattern for Emotion Recognition in The Wild","authors":"Xiaohua Huang, Qiuhai He, Xiaopeng Hong, Guoying Zhao, M. Pietikäinen","doi":"10.1145/2663204.2666278","DOIUrl":"https://doi.org/10.1145/2663204.2666278","url":null,"abstract":"Local binary pattern from three orthogonal planes (LBP-TOP) has been widely used in emotion recognition in the wild. However, it suffers from illumination and pose changes. This paper mainly focuses on the robustness of LBP-TOP to unconstrained environment. Recent proposed method, spatiotemporal local monogenic binary pattern (STLMBP), was verified to work promisingly in different illumination conditions. Thus this paper proposes an improved spatiotemporal feature descriptor based on STLMBP. The improved descriptor uses not only magnitude and orientation, but also the phase information, which provide complementary information. In detail, the magnitude, orientation and phase images are obtained by using an effective monogenic filter, and multiple feature vectors are finally fused by multiple kernel learning. STLMBP and the proposed method are evaluated in the Acted Facial Expression in the Wild as part of the 2014 Emotion Recognition in the Wild Challenge. They achieve competitive results, with an accuracy gain of 6.35% and 7.65% above the challenge baseline (LBP-TOP) over video.","PeriodicalId":389037,"journal":{"name":"Proceedings of the 16th International Conference on Multimodal Interaction","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126758350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 24

Tactile Feedback for Above-Device Gesture Interfaces: Adding Touch to Touchless Interactions 设备上手势界面的触觉反馈:将触摸添加到非触摸交互中

Proceedings of the 16th International Conference on Multimodal Interaction Pub Date : 2014-11-12 DOI: 10.1145/2663204.2663280

Euan Freeman, S. Brewster, V. Lantz

引用次数: 47

Multimodal Interaction History and its use in Error Detection and Recovery 多模态交互历史及其在错误检测和恢复中的应用

Proceedings of the 16th International Conference on Multimodal Interaction Pub Date : 2014-11-12 DOI: 10.1145/2663204.2663255

Felix Schüssel, F. Honold, Miriam Schmidt, N. Bubalo, A. Huckauf, M. Weber

{"title":"Multimodal Interaction History and its use in Error Detection and Recovery","authors":"Felix Schüssel, F. Honold, Miriam Schmidt, N. Bubalo, A. Huckauf, M. Weber","doi":"10.1145/2663204.2663255","DOIUrl":"https://doi.org/10.1145/2663204.2663255","url":null,"abstract":"Multimodal systems still tend to ignore the individual input behavior of users, and at the same time, suffer from erroneous sensor inputs. Although many researchers have described user behavior in specific settings and tasks, little to nothing is known about the applicability of such information, when it comes to increase the robustness of a system for multimodal inputs. We conducted a gamified experimental study to investigate individual user behavior and error types found in an actually running system. It is shown, that previous ways of describing input behavior by a simple classification scheme (like simultaneous and sequential) are not suited to build up an individual interaction history. Instead, we propose to use temporal distributions of different metrics derived from multimodal event timings. We identify the major errors that can occur in multimodal interactions and finally show how such an interaction history can practically be applied for error detection and recovery. Applying the proposed approach to the experimental data, the initial error rate is reduced from 4.9% to a minimum of 1.2%.","PeriodicalId":389037,"journal":{"name":"Proceedings of the 16th International Conference on Multimodal Interaction","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131841681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 21

Capturing Upper Body Motion in Conversation: An Appearance Quasi-Invariant Approach 捕捉谈话中的上半身动作:一种外观准不变的方法

Proceedings of the 16th International Conference on Multimodal Interaction Pub Date : 2014-11-12 DOI: 10.1145/2663204.2663267

Alvaro Marcos-Ramiro, Daniel Pizarro-Perez, Marta Marrón Romera, D. Gática-Pérez

{"title":"Capturing Upper Body Motion in Conversation: An Appearance Quasi-Invariant Approach","authors":"Alvaro Marcos-Ramiro, Daniel Pizarro-Perez, Marta Marrón Romera, D. Gática-Pérez","doi":"10.1145/2663204.2663267","DOIUrl":"https://doi.org/10.1145/2663204.2663267","url":null,"abstract":"We address the problem of body communication retrieval and measuring in seated conversations by means of markerless motion capture. In psychological studies, the use of automatic methods is key to reduce the subjectivity present in manual behavioral coding used to extract these cues. These studies usually involve hundreds of subjects with different clothing, non-acted poses, or different distances to the camera in uncalibrated, RGB-only video. However, range cameras are not yet common in psychology research, especially in existing recordings. Therefore, it becomes highly relevant to develop a fast method that is able to work in these conditions. Given the known relationship between depth and motion estimates, we propose to robustly integrate highly appearance-invariant image motion features in a machine learning approach, complemented with an effective tracking scheme. We evaluate the method's performance with existing databases and a database of upper body poses displayed in job interviews that we make public, showing that in our scenario it is comparable to that of Kinect without using a range camera, and state-of-the-art w.r.t. the HumanEva and ChaLearn 2011 evaluation datasets.","PeriodicalId":389037,"journal":{"name":"Proceedings of the 16th International Conference on Multimodal Interaction","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133424104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Automatic Detection of Naturalistic Hand-over-Face Gesture Descriptors 自然手势描述符的自动检测

Proceedings of the 16th International Conference on Multimodal Interaction Pub Date : 2014-11-12 DOI: 10.1145/2663204.2663258

M. Mahmoud, T. Baltrušaitis, P. Robinson

引用次数: 15

Emotion Recognition In The Wild Challenge 2014: Baseline, Data and Protocol 2014年野生挑战中的情感识别:基线，数据和协议

Proceedings of the 16th International Conference on Multimodal Interaction Pub Date : 2014-11-12 DOI: 10.1145/2663204.2666275

Abhinav Dhall, Roland Göcke, Jyoti Joshi, Karan Sikka, Tom Gedeon

引用次数: 224

Session details: Oral Session 5: Mobile and Urban Interaction 会议详情:口头会议5:移动和城市互动

Proceedings of the 16th International Conference on Multimodal Interaction Pub Date : 2014-11-12 DOI: 10.1145/3246750

M. Sezgin

引用次数: 0

Realizing Robust Human-Robot Interaction under Real Environments with Noises 真实环境下具有噪声的鲁棒人机交互实现

Proceedings of the 16th International Conference on Multimodal Interaction Pub Date : 2014-11-12 DOI: 10.1145/2663204.2666283

Takaaki Sugiyama

引用次数: 1