Author:
Pangestu Gusti,Wangean Daniel Anando,Setyawan Sinjiru,Huda Choirul,Maulana Fairuz Iqbal,Sano Albert Verasius Dian,Kuswantoro Slamet
Publisher
Springer Nature Switzerland
Reference18 articles.
1. Bruce V (1996) The role of the face in communication: implications for videophone design. Interact Comput 8:166–176. https://doi.org/10.1016/0953-5438(96)01026-0
2. Lee S, Min C, Montanari A, Mathur A, Chang Y, Song J, Kawsar F (2019) Automatic smile and frown recognition with kinetic earables. In: Proceedings of the 10th augmented human international conference 2019. ACM, New York, NY, USA, pp 1–4. https://doi.org/10.1145/3311823.3311869
3. An L, Yang S, Bhanu B (2015) Efficient smile detection by extreme learning machine. Neurocomputing 149:354–363. https://doi.org/10.1016/j.neucom.2014.04.072
4. Tang C, Cui Z, Zheng W, Qiu N, Ke X, Zong Y, Yan S (2018) Automatic smile detection of infants in mother-infant interaction via CNN-based feature learning. In: ASMMC-MMAC 2018—proceedings of the joint workshop of the 4th workshop on affective social multimedia computing and 1st multi-modal affective computing of large-scale multimedia data, co-located with MM 2018. Association for Computing Machinery, Inc., pp 35–40. https://doi.org/10.1145/3267935.3267951
5. Paggio P, Agirrezabal M, Jongejan B, Navarretta C (2020) Automatic detection and classification of head movements in face-to-face conversations. In: Proceedings of LREC2020 workshop “people in language, vision and the mind’’ (ONION2020), pp 15–21