Wedasingha, NSamarasinghe, PSingarathnam, DPapandrea, MPuiatti, ASeneviratne, L2023-01-232023-01-232022-11-04N. Wedasingha, P. Samarasinghe, D. Singarathnam, M. Papandrea, A. Puiatti and L. Seneviratne, "Child Head Gesture Classification through Transformers," TENCON 2022 - 2022 IEEE Region 10 Conference (TENCON), Hong Kong, Hong Kong, 2022, pp. 1-6, doi: 10.1109/TENCON55691.2022.9977990.21593442https://rda.sliit.lk/handle/123456789/3142This paper proposes a transformer network for head pose classification (HPC) which outperforms the existing SoA for HPC. This robust model is then extended to overcome the limited child data challenge by applying transfer learning resulting in an accuracy of 95.34% for child HPC in the wild.enHead Pose EstimationLogistic RegressionSVMTransfer LearningTransformerArticle10.1109/TENCON55691.2022.9977990