Abstract
In this paper, several kinect-based games which are developed and implemented for the improvement of attention and sensory-motor coordination will be presented. The interface, and difficulty levels of these games are specially designed for the ease of different age groups. The games involve physical activities for the fulfillment of some basic tasks within the Human-Computer Interaction (HCI) game, such as fruit picking and air hockey, with different difficulty levels based on varying parameters of the games. The human action is observed and recognized via Kinect RGB-D sensors. The games are tested with a group of deaf children (3.5–5 years) as a part of the experiments of an ongoing project, to decrease the stress of the children, and increase their enjoyment, attention and sensory-motor coordination before the main tests. Both the game results and the evaluation of the therapists and the pedagogues show that the games have a positive impact on the children. The games are also tested with a group of adults as a control group and the attention levels of the adults were also observed via mobile EEG device. The children were supposed to use the EEG device in the main tests therefore the device was not integrated to their game sessions.
This study is supported by the Scientific and Technological Research Council of Istanbul Technical university, under the contract of BAP 39679, “Robot and Avatar based interactive game platform for Deaf children”.
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Notes
- 1.
The children and the families volunteered for the study in Cerrahpasa Medical School, Audiology Department. They were accompanied by a pedagogue, and the audiologists during the study. The project is approved both by the Ethical Boards of Cerrahpasa Medical School and Istanbul Technical University.
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Kandemir, H., Kose, H. (2019). Effects of Physical Activity Based HCI Games on the Attention, Emotion and Sensory-Motor Coordination. In: Aspragathos, N., Koustoumpardis, P., Moulianitis, V. (eds) Advances in Service and Industrial Robotics. RAAD 2018. Mechanisms and Machine Science, vol 67. Springer, Cham. https://doi.org/10.1007/978-3-030-00232-9_75
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