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- W4386804943 abstract "Human Activity Recognition (HAR) is a process of identification of physical activities for various human motions. This human motion has found its applicability in many activities like indoor, outdoor, static, dynamic, and elderly working movements. HAR can be monitored either stationary or dynamically from any location using IoT and cloud-based environments. Several studies were presented in the past that used 2D image-based analysis or sensory textual data for HAR. But the analysis of HAR using real-time videos is still an open challenge. This paper presents the comparative analysis of two-time series models using videos of human actions for real-time analysis. The study presents an analysis of the applicability of the models for remote monitoring." @default.
- W4386804943 created "2023-09-17" @default.
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- W4386804943 date "2023-01-01" @default.
- W4386804943 modified "2023-09-27" @default.
- W4386804943 title "A Comparative Analysis of Multiclass Human Activity Recognition Using LSTM-Based Model" @default.
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- W4386804943 doi "https://doi.org/10.1007/978-981-99-3716-5_29" @default.
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