Abstract
Mobile phones are becoming increasingly advanced and the latest ones are equipped with many diverse and powerful sensors. These sensors can be used to study different positions and orientations of the phone which can help smartphone manufacturers to track the handling of their customer’s phones from the recorded log. The inbuilt sensors such as the accelerometer and gyroscope present in our phones are used to obtain data for acceleration and orientation of the phone in the three axes for different phone vulnerable position. From the data obtained appropriate features are extracted using various feature extraction techniques which are given to classifiers such as the neural network to classify them and decide whether the phone is in a vulnerable position to fall or it is in a safe position.
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Karthik, R., Satapathy, P., Patnaik, S., Priyadarshi, S., Bharath, K.P., Rajesh Kumar, M. (2019). Automatic Phone Slip Detection System. In: Panda, G., Satapathy, S., Biswal, B., Bansal, R. (eds) Microelectronics, Electromagnetics and Telecommunications. Lecture Notes in Electrical Engineering, vol 521. Springer, Singapore. https://doi.org/10.1007/978-981-13-1906-8_34
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DOI: https://doi.org/10.1007/978-981-13-1906-8_34
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