eprintid: 5724 rev_number: 2 eprint_status: archive userid: 1 dir: disk0/00/00/57/24 datestamp: 2023-11-09 16:17:28 lastmod: 2023-11-09 16:17:28 status_changed: 2023-11-09 16:03:42 type: conference_item metadata_visibility: show creators_name: Kudiri, K.M. creators_name: Said, A.M. creators_name: Nayan, M.Y. title: Emotion Detection through Speech and Facial Expressions ispublished: pub keywords: Bins; Face recognition; Support vector machines, Emotion detection; Facial Expressions; Frequency coefficient; Fusion techniques; Human machine interaction; Multimodal system; Subimages; System response time, Human computer interaction note: cited By 4; Conference of 1st International Conference on Computer Assisted System in Health, CASH 2014 ; Conference Date: 19 December 2014 Through 21 December 2014; Conference Code:118343 abstract: Human machine interaction is one of the most burgeoning area of research in the field of information technology. To date a majority of research in this field has been conducted using unimodal and multimodal systems with asynchronous data. Because of the above, the improper synchronization, which has become a common problem, due to that, the system complexity increases and the system response time decreases. To counter this problem, a novel approach has been introduced to predict human emotions using human speech and facial expressions. The approach uses two feature vectors, namely, relative bin frequency coefficient (RBFC) and relative sub-image based coefficient (RSB) for speech and visual data respectively. Support vector machine with radial basis kernel is used for feature level classification based fusion technique between two modalities. The proposed novel approach has resulted in galvanizing results for a myriad of inputs and can be adapted to asynchronous data. © 2014 IEEE. date: 2015 publisher: Institute of Electrical and Electronics Engineers Inc. official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962082444&doi=10.1109%2fCASH.2014.22&partnerID=40&md5=cecbc5ea8f6d4b0773059954b1649b01 id_number: 10.1109/CASH.2014.22 full_text_status: none publication: Proceedings - 2014 International Conference on Computer Assisted System in Health, CASH 2014 pagerange: 26-31 refereed: TRUE isbn: 9781479988228 citation: Kudiri, K.M. and Said, A.M. and Nayan, M.Y. (2015) Emotion Detection through Speech and Facial Expressions. In: UNSPECIFIED.