header
Image from OpenLibrary

Improving emotion recognition using brain signals / Mohammed Ahmed Abdelaal Ahmed ; Supervised Hesham Hefny , Assem Alsawy

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Mohammed Ahmed Abdelaal Ahmed , 2018Description: 98 Leaves : charts , facsimiles ; 30cmOther title:
  • تحسين التعرف علي المشاعر باستخدام إشارات المخ [Added title page title]
Subject(s): Available additional physical forms:
  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Computer and Information Science Summary: Emotion recognition has become an important factor for easier and effective interaction between human and computer. Despite the importance of emotions in people communications, most of currently human-computer interaction systems lack the ability to recognize and interpret user emotions. Emotions can be recognized by monitoring external phenomena of human body, such as facial expression, voice intonation and body movement. Emotions can also be recognized by monitoring internal physiological signals, such as heart rate, respiration and brain signals. Physiological signals are considered more reliable in emotion recognition specially brain signals. During the last few years, many researchers and companies became interested in interpreting user intentions by monitoring brain signals. Electroencephalography (EEG) is the most used modality to monitor brain signals. EEG measures the electrical activities of the brain through a set of electrodes placed on the scalp. It has a high temporal resolution with no risks, and it is relatively cheap. During the last decades, many commercial EEG devices were produced, and these devices are even easier to setup and use than those devices used in laboratories
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.18.02.M.Sc.2018.Mo.I (Browse shelf(Opens below)) Not for loan 01010110079122000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.18.02.M.Sc.2018.Mo.I (Browse shelf(Opens below)) 79122.CD Not for loan 01020110079122000

Thesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Computer and Information Science

Emotion recognition has become an important factor for easier and effective interaction between human and computer. Despite the importance of emotions in people communications, most of currently human-computer interaction systems lack the ability to recognize and interpret user emotions. Emotions can be recognized by monitoring external phenomena of human body, such as facial expression, voice intonation and body movement. Emotions can also be recognized by monitoring internal physiological signals, such as heart rate, respiration and brain signals. Physiological signals are considered more reliable in emotion recognition specially brain signals. During the last few years, many researchers and companies became interested in interpreting user intentions by monitoring brain signals. Electroencephalography (EEG) is the most used modality to monitor brain signals. EEG measures the electrical activities of the brain through a set of electrodes placed on the scalp. It has a high temporal resolution with no risks, and it is relatively cheap. During the last decades, many commercial EEG devices were produced, and these devices are even easier to setup and use than those devices used in laboratories

Issued also as CD

There are no comments on this title.

to post a comment.