Analysis of Multi Touch Interactive Device for a Cost Effective Architecture

Chanda, Sushovan; Acharya, Arunasish

doi:10.5120/ijca2016909433

Cited by 1 publication

(1 citation statement)

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“…The Viola-Jones technique is used as a face tracker by Vukadinovic and Pantic (2005) and Chanda and Acharya (2016) for detecting initial face points using a supervised regression method. The authors have used these markers for training a linear SVM model.…”

Section: Visual Analysismentioning

confidence: 99%

A Deep Audiovisual Approach for Human Confidence Classification

Chanda

Fitwe

Deshpande

et al. 2021

Front. Comput. Sci.

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Research on self-efficacy and confidence has spread across several subfields of psychology and neuroscience. The role of one’s confidence is very crucial in the formation of attitude and communication skills. The importance of differentiating the levels of confidence is quite visible in this domain. With the recent advances in extracting behavioral insight from a signal in multiple applications, detecting confidence is found to have great importance. One such prominent application is detecting confidence in interview conversations. We have collected an audiovisual data set of interview conversations with 34 candidates. Every response (from each of the candidate) of this data set is labeled with three levels of confidence: high, medium, and low. Furthermore, we have also developed algorithms to efficiently compute such behavioral confidence from speech and video. A deep learning architecture is proposed for detecting confidence levels (high, medium, and low) from an audiovisual clip recorded during an interview. The achieved unweighted average recall (UAR) reaches 85.9% on audio data and 73.6% on video data captured from an interview session.

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Section: Visual Analysismentioning

confidence: 99%