Journal ArticleUnknown
Prayer Activity Recognition Using Smartphone
Author Affiliations
Daffodil International University
Year2021
Citations7
Abstract
There are 1.8 billion Muslims around the world who pray five times a day. Using the Human Activity Recognition Method, we can get a variety of benefits for diagnosing prayer activities, such as automatically switching smartphones to silent mode during prayers. Using smartphones, we can get this help Smartphones currently have many accelerometers, gyroscopes, magnetometers, and other sensors built-in. These sensors can be used to detect the activity of prayers based on artificial intelligence because, during the prayers, people perform certain activities and perform the prayers. In this paper, we have tried to determine the activity of prayers using the sensors of smartphones. Although there are many sensors in the smartphone, we have used three sensors namely accelerometer, gyroscope, and…
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Fields & Keywords
Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionContext-Aware Activity Recognition SystemsIoT and Edge/Fog ComputingHuman Mobility and Location-Based AnalysisArtificial intelligenceReal-time computingHuman–computer interactionComputer visionOperating systemReligious studiesQuantum mechanicsAerospace engineering