Interpreting Hand-Over-Face Gestures

نویسندگان

  • Marwa Mahmoud
  • Peter Robinson
چکیده

People often hold their hands near their faces as a gesture in natural conversation, which can interfere with affective inference from facial expressions. However, these gestures are valuable as an additional channel for multi-modal inference. We analyse hand-over-face gestures in a corpus of naturalistic labelled expressions and propose the use of those gestures as a novel affect cue for automatic inference of cognitive mental states. We define three hand cues for encoding hand-over-face gestures, namely hand shape, hand action and facial region occluded, serving as a first step in automating the interpretation process.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Hand Gestures Classification with Multi-Core DTW

Classifications of several gesture types are very helpful in several applications. This paper tries to address fast classifications of hand gestures using DTW over multi-core simple processors. We presented a methodology to distribute templates over multi-cores and then allow parallel execution of the classification. The results were presented to voting algorithm in which the majority vote was ...

متن کامل

Towards Communicative Face Occlusions: Machine Detection of Hand-over-Face Gestures

Emotional body language constitutes an important channel of nonverbal information. Of this large set, hand-over-face gestures are treated as noise because they occlude facial expressions. In this paper, we propose an alternative facial processing framework where face occlusions instead of being removed, are detected, localized and eventually classified into communicative gestures. We present a ...

متن کامل

Neural Network Performance Analysis for Real Time Hand Gesture Tracking Based on Hu Moment and Hybrid Features

This paper presents a comparison study between the multilayer perceptron (MLP) and radial basis function (RBF) neural networks with supervised learning and back propagation algorithm to track hand gestures. Both networks have two output classes which are hand and face. Skin is detected by a regional based algorithm in the image, and then networks are applied on video sequences frame by frame in...

متن کامل

3D Corpus of Spontaneous Complex Mental States

Hand-over-face gestures, a subset of emotional body language, are overlooked by automatic affect inference systems. We propose the use of hand-over-face gestures as a novel affect cue for automatic inference of cognitive mental states. Moreover, affect recognition systems rely on the existence of publicly available datasets, often the approach is only as good as the data. We present the collect...

متن کامل

Integrating Audio and Visual Information for Modelling Communicative Behaviours Perceived as Different

In human face-to-face interaction, participants can rely on a number of audio-visual information for interpreting interlocutors’ communicative intentions, such information strongly contributing to the successfulness of communication. Modelling these typical human abilities represents a main objective in human communication research, including technological applications like human-machine intera...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011