Abstract
Human-like gaze control of robots is essential for natural human robot interaction (HRI), and thus it is necessary to identify the gaze control factors that affect human gaze. In this paper, the gaze control factors are derived inductively from the observation of human scanpaths. Human scanpaths are measured from movie clips and are transformed into vector-based representation that contains spatio-temporal information. The transformed scanpaths are compared to find the most common scanpath. The selected scanpath is analyzed to identify the gaze control factors. The derived factors are anticipation, knowledge, and attractions in a static image such as salient regions, humans, objects, and center of visual inputs.
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References
Pease, B., Pease, A.: The Definitive Book of Body Language. Bantam (2008)
Kim, J.-.H., Choi, S.-H., Park, I.-W., Zaheer, S.A.: Intelligence Technology for Robots That Think. IEEE Comput. Intelli. Mag. 8(3), 70–84 (2013)
Itti, L., Koch, C.: A Saliency-based Search Mechanism for Overt and Covert Shifts of Visual Attention. Vision Res. 40(10), 489–1506 (2000)
Cerf, M., Harel, J., Einhäuser, W., Koch, C.: Predicting Human Gaze Using Low-Level Saliency Combined with Face Detection. Adv. Neur. 20, 241–248 (2008)
Yoo, B.-S., Kim, J.-H.: Scanpaths analysis with fixation maps to provide factors for natural gaze control. In: Kim, J.-H., Matson, E., Myung, H., Xu, P. (eds.) Robot Intelligence Technology and Applications 2. AISC, vol. 274, pp. 361–368. Springer, Heidelberg (2014)
Jarodzka, H., Holmqvit, K.: A Vector-based, Multidimensional Scanpath Similarity Measure. In: Proc. Symp. Eye-Tracking Research and Application, pp. 211–218 (2010)
Marszalek, M., Laptev, I., Schmid, C.: Actions in Context. In: Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 2929–2936 (2009)
Rodrigues, M.D., Ahmed, J., Shah, M.: Action MACH a Spatio-Temporal Maximum Average Correlation Height Filter for Action Recognition. In: Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 1–8 (2008)
Herderson, J., Ferreira, F.: The Interface of Language Vision and Action: Eye Movements and the Visual World, Psychology Press (2004)
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© 2015 Springer International Publishing Switzerland
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Yoo, BS., Kim, JH. (2015). Gaze Control Factors for Natural Human Robot Interaction from Scanpath Comparisons. In: Kim, JH., Yang, W., Jo, J., Sincak, P., Myung, H. (eds) Robot Intelligence Technology and Applications 3. Advances in Intelligent Systems and Computing, vol 345. Springer, Cham. https://doi.org/10.1007/978-3-319-16841-8_22
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DOI: https://doi.org/10.1007/978-3-319-16841-8_22
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-16840-1
Online ISBN: 978-3-319-16841-8
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