Identifying dominant emotional state using handwriting and drawing samples by fusing features
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-03552-x.pdf
Reference47 articles.
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2. Champa HN, AnandaKumar KR (2010) Automated human behavior prediction through handwriting analysis. In first international conference on integrated intelligent computing. IEEE: 160-165
3. Marcelli A, Parziale A, Santoro A (2012) Modeling handwriting style: a preliminary investigation. In international conference on Frontiers in handwriting recognition. IEEE: 411-416
4. Likforman-Sulem L, Esposito A, Faundez-Zanuy M, Clémençon S, Cordasco G (2017) EMOTHAW: a novel database for emotional state recognition from handwriting and drawing. IEEE Transactions on Human-Machine Systems 47:273–284
5. Kedar SV, Bormane DS, Dhadwal A, Alone S, Agarwal R (2015) Automatic emotion recognition through handwriting analysis: a review. In2015 international conference on computing communication control and automation. IEEE: 811-816
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