{"product_id":"deep-learning-for-emotion-recognition-fatiha-limami-9786208436063","title":"Deep Learning for Emotion Recognition: From Theory to Practice","description":"This book investigates developments in computer vision and artificial intelligence automated emotional perception. Specifically, we use deep learning, DCNN, and VGG19 algorithms to combine body language and contextual information, including environmental, social, and cultural factors. We optimize deep neural networks by aggregating many picture datasets, including EMOTIC (ADE20K, MSCOCO), EMODB_SMALL, and FRAMESDB, to evaluate continuous emotional dimensions and discrete emotions properly. Our results show notable progress over current methods, improving contextual emotional awareness. This work opens the path for significant applications in social robotics, affective computing, and human-machine interaction, enabling complex emotional sensing in many different real-world contexts.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Fatiha Limami\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 6208436060\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9786208436063\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e LAP Lambert Academic Publishing\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 04\/03\/2025\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 52\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.18lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.00h x 6.00w x 0.12d","brand":"Fatiha Limami","offers":[{"title":"Paperback","offer_id":46962836177151,"sku":"9786208436063","price":50.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_5785355f-5e9f-4fbb-8708-2fb3fa34b86d.jpg?v=1750652682","url":"https:\/\/www.whiterainbookhouse.com\/products\/deep-learning-for-emotion-recognition-fatiha-limami-9786208436063","provider":"WR Book House","version":"1.0","type":"link"}