[1] L. F. Barrett, “Discrete Emotions or Dimensions? The Role of Valence Focus and Arousal Focus,” Cognition and Emotion, vol. 12, no. 4, pp. 579–599, Jul. 1998.
[2] D. Cohen, G. Beattie, and H. Shovelton, “Nonverbal indicators of deception: How iconic gestures reveal thoughts that cannot be suppressed,” Semiotica, vol. 2010, no. 182, pp. 133–174, 2010.
[3] LF Barrett, M Lewis, JM Haviland Jones, Handbook of Emotions. New York: Guilford Press, 2016.
[4] P. A. Andersen, Nonverbal communication: forms and functions, 2nd ed. Long Grove, Ill: Waveland Press, Inc, 2008.
[5] S. Costa, F. Soares, and C. Santos, “Facial Expressions and Gestures to Convey Emotions with a Humanoid Robot,” in Social Robotics, 2013, pp. 542–55
[6] T. Hashimoto, S. Hitramatsu, T. Tsuji, and H. Kobayashi, “Development of the Face Robot SAYA for Rich Facial Expressions,” in 2006 SICE-ICASE International Joint Conference, 2006, pp. 5423–5428.
[7] M. Kipp and J. C. Martin, “Gesture and emotion: Can basic gestural form features discriminate emotions?,” in 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, 2009, pp. 1–8.
[8] A. P. Atkinson, M. L. Tunstall, and W. H. Dittrich, “Evidence for distinct contributions of form and motion information to the recognition of emotions from body gestures,” Cognition, vol. 104, no. 1, pp. 59–72, Jul. 2007.
[9] R. M. Edith and A. B. Haripriya, “Gesture recognition using real time EMG,” in 2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015, pp. 1–3.
[10] K. Dermitzakis, A. H. Arieta, and R. Pfeifer, “Gesture recognition in upper-limb prosthetics: A viability study using dynamic time warping and gyroscopes,” in 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011, pp. 4530–4533.
[11] V. Kartsch, S. Benatti, M. Mancini, M. Magno, and L. Benini, “Smart Wearable Wristband for EMG based Gesture Recognition Powered by Solar Energy Harvester,” in 2018 IEEE International Symposium on Circuits and Systems (ISCAS), 2018, pp. 1–5.
[12] K. Kang and H. C. Shin, “EMG based gesture recognition using feature calibration,” in 2018 International Conference on Information Networking (ICOIN), 2018, pp. 825–827.
[13] A. Moin et al., “An EMG Gesture Recognition System with Flexible High-Density Sensors and Brain-Inspired High-Dimensional Classifier,” in 2018 IEEE International Symposium on Circuits and Systems (ISCAS), 2018, pp. 1–5.
[14] T. K. Chan, Y. K. Yu, H. C. Kam, and K. H. Wong, “Robust hand gesture input using computer vision, inertial measurement unit (IMU) and flex sensors,” Mechatronics, vol. 2018, 2018.
[15] S. Shibata, K. Ohba, and N. Inooka, “Emotional evaluation of human arm motion models,” in Proceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication, 1993, pp. 346–351.
[16] C. L. Roether, L. Omlor, A. Christensen, and M. A. Giese, “Critical features for the perception of emotion from gait,” Journal of Vision, vol. 9, no. 6, pp. 15–15, Jun. 2009.
[17] S. B. Sial, M. B. Sial, Y. Ayaz, S. I. A. Shah, and A. Zivanovic, “Interaction of robot with humans by communicating simulated emotional states through expressive movements,” Intel Serv Robotics, vol. 9, no. 3, pp. 231–255, Jul. 2016.
[18] P. Kumari, L. Mathew, and P. Syal, “Increasing trend of wearables and multimodal interface for human activity monitoring: A review,” Biosensors and Bioelectronics, vol. 90, pp. 298–307, Apr. 2017.
[19] J. P. Wachs, M. Kölsch, H. Stern, and Y. Edan, “Vision-based Hand-gesture Applications,” Commun. ACM, vol. 54, no. 2, pp. 60–71, Feb. 2011.
[20] S. Tariq, S. Baber, A. Ashfaq, Y. Ayaz, M. Naveed, and S. Mohsin, “Interactive Therapy Approach Through Collaborative Physical Play Between a Socially Assistive Humanoid Robot and Children with Autism Spectrum Disorder,” in Social Robotics, 2016, pp. 561–570.
[21] R. Aylett et al., “Evaluating Robot Facial Expressions,” in Proceedings of the 19th ACM International Conference on Multimodal Interaction, New York, NY, USA, 2017, pp. 516–517.