Emotion Recognition Powerpoint Ppt Template Bundles

Slide 1: This slide introduces Emotion Recognition. State your company name and begin.
Slide 2: This slide showcases process to create emotion detection model. It includes data set understanding, helper function, conversion of data, base model function, fine tuning and predictions.
Slide 3: This slide highlights text language processing to detect emotions. It includes analysing questionnaires, texts, processing textual information, extracting datasets, feature extraction, etc.
Slide 4: This slide showcases application detection and recognition of speech. It includes intelligent tutoring system, lie detection, in car emotion recognition and customer care.
Slide 5: This slide highlights artificial intelligence emotion detection and behaviour analysis. This slide includes image face detection, image pre processing and emotion classification.
Slide 6: This slide presents emotion detection framework to process sentiment with expressions. It includes image resizing, gray scale conversion, feature extraction, histogram, etc.
Slide 7: This slide showcases emotion recognition approaches by analysing human behaviour. This slide includes lexicon based approach, machine learning and deep learning.
Slide 8: This slide highlights emotional detection tool analysis on the basis of features by expressions, NLP, artificial intelligence with software such as Brand24, MorphCast and Facereader.
Slide 9: This slide covers emotion recognition technology to analyse human emotions. This slide includes input image, preprocessing, resizing, knowledge base, difference measurement and result.
Slide 10: This slide highlights global facial emotion market growth forecast. This slide includes growth drivers such as law enforcement, adoption of software tools and region.
Slide 11: This slide covers emotion recognition ways to hire right candidate by analysing behaviour. This slide includes video interview analysis, unbiased results and simplifying work.
Slide 12: This slide displays emotion recognition benefits in business profiling. This slide includes tasks such as product testing, client feedback and evaluating customer service.
Slide 13: This slide highlights emotional sentiment recognition with artificial intelligence. This slide includes evaluating emotions, sentiment etc.
Slide 14: This slide displays human facial emotion recognition analysis. This slide includes scanning person characteristics, expressions, emotional state detection, continuous speech recognition.
Slide 15: This slide covers facial emotion recognition to evaluate program accuracy. This slide includes CrowdEmotion, MorphCast, Affefctiva, Microsoft, Visage technologies, etc.
Slide 16: This slide highlights audience feedback to analyse emotional state by conducting event scanning, data extraction, results, emotional evaluation and graphical results.
Slide 17: This slide covers video game testing to test new games using video and audio. This slide includes tester, observer, sending face image, result analysis, display overlay, etc.
Slide 18: This slide depicts emotional recognition to detect facial features. This slide includes number of employees, age difference, glasses, gender distribution, average smile, etc.
Slide 19: This slide covers facial recognition to match emotion data. This slide includes components for matching fingerprint, retina, voice and facial recognition with camera, faceprint etc.
Slide 20: This slide presents Emotion facial recognition system icon.
Slide 21: This slide covers Emotion detection with artificial intelligence icon.
Slide 22: This slide presents Advertisement based emotion detection icon.
Slide 23: This is a Thank You slide with address, contact numbers and email address.