Abstract
As computers become progressively inescapable in the public arena, encouraging characteristic human–computer interaction (HCI) will positively affect their utilization. Henceforth, there has been developing enthusiasm for the improvement of new methodologies and innovations for bridging this barrier. In this project, a novel approach has been presented toward hand gesture recognition using smartphone sensor reading, which can be applied to interact with your personal computers. The method presented collects data from smartphone sensors and based on the sensor data (accelerometer and gyroscope), classifies the data using deep learning algorithms. Furthermore, once the gesture has been accurately classified, the gesture is mapped to an action. This paper also provides an analysis of a comparative study done for this area.
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Sachdeva, A., Mohan, A. (2021). A Novel Approach to Human–Computer Interaction Using Hand Gesture Recognition. In: Jat, D.S., Shukla, S., Unal, A., Mishra, D.K. (eds) Data Science and Security. Lecture Notes in Networks and Systems, vol 132. Springer, Singapore. https://doi.org/10.1007/978-981-15-5309-7_2
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DOI: https://doi.org/10.1007/978-981-15-5309-7_2
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