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Autor principal: Wang, Xuesong
Formato: Preprint
Publicado: 2024
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Acceso en línea:https://arxiv.org/abs/2406.07834
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_version_ 1866911915377164288
author Wang, Xuesong
author_facet Wang, Xuesong
contents The failure mode of the phone falling has a lot to do with the ground material. At present, the research on ground material and mobile phone damage is generally carried out through experiments, which is extremely costly. This paper presents a method to identify the material of mobile phones falling on the ground. The method determines the material of the mobile phone falling to the ground according to the data of the mobile phone accelerometer and can obtain the ground material of the mobile phone falling through a large number of user data. By analyzing the physical process of mobile phone falling, the accelerometer data interval which can reflect the characteristics of falling is reasonably intercepted. And the data features that can reflect the collision are extracted. Finally, based on the fully connected neural network, the method of determining the material of mobile phones falling on the ground is developed. The experimental results show that the method has a high identification rate, and the average identification rate for different ground materials is 96.75%. Instead of relying on auxiliary devices, the identification process only relies on the phone's built-in acceleration sensor. This paper fills the gap in the field of mobile phone falling ground material identification. It has a great contribution to the collection of user drop data, the analysis of the drop process, and the improvement of mobile phone design defects.
format Preprint
id arxiv_https___arxiv_org_abs_2406_07834
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Research on material identification of mobile phones falling to the ground
Wang, Xuesong
Systems and Control
The failure mode of the phone falling has a lot to do with the ground material. At present, the research on ground material and mobile phone damage is generally carried out through experiments, which is extremely costly. This paper presents a method to identify the material of mobile phones falling on the ground. The method determines the material of the mobile phone falling to the ground according to the data of the mobile phone accelerometer and can obtain the ground material of the mobile phone falling through a large number of user data. By analyzing the physical process of mobile phone falling, the accelerometer data interval which can reflect the characteristics of falling is reasonably intercepted. And the data features that can reflect the collision are extracted. Finally, based on the fully connected neural network, the method of determining the material of mobile phones falling on the ground is developed. The experimental results show that the method has a high identification rate, and the average identification rate for different ground materials is 96.75%. Instead of relying on auxiliary devices, the identification process only relies on the phone's built-in acceleration sensor. This paper fills the gap in the field of mobile phone falling ground material identification. It has a great contribution to the collection of user drop data, the analysis of the drop process, and the improvement of mobile phone design defects.
title Research on material identification of mobile phones falling to the ground
topic Systems and Control
url https://arxiv.org/abs/2406.07834