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Call for Papers:Vol.11 Issue.3

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Title: :  SUSPICIOUS HUMAN ACTIVITY RECOGNITION AND ALARMING SYSTEM USING CNN AND LSTM ALGORITHM
PaperId: :  16407
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 8 Issue 2 2022
DUI:    16.0415/IJARIIE-16407
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
K.V Sai LikhitaDayananda Sagar academy of technology and management
Leela SDayananda Sagar academy of technology and management
Deepak KumarDayananda Sagar academy of technology and management
A AbhiramDayananda Sagar academy of technology and management

Abstract

Computer Science Engineering
Human activity recognition · Adaptive video compression · Vision-based human activity recognition · Anomaly detection
Traditional pattern recognition systems have made significant improvement in recent years. With deep learning methods' growing popularity and success, utilising these approaches to understand human behaviours in mobile and wearable computing settings has gotten a lot of interest. A deep neural network that blends convolutional layers with long short-term memory (LSTM) is proposed in this research. With a few model parameters, this model could automatically extract activity features and classify them. The LSTM is a recurrent neural network (RNN) variation that is better suited to handling temporal sequences. The raw data acquired by the sensors was fed into a two-layer LSTM followed by convolutional layers in the proposed architecture. It can not only extract activity features adaptively, but it also has less parameters and a higher accuracy. The CNN classifier, which should be used alone, and the LSTM models, which should be used in series and with the feed data, should be used together.

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IJARIIE K.V Sai Likhita, Leela S, Deepak Kumar, and A Abhiram. "SUSPICIOUS HUMAN ACTIVITY RECOGNITION AND ALARMING SYSTEM USING CNN AND LSTM ALGORITHM" International Journal Of Advance Research And Innovative Ideas In Education Volume 8 Issue 2 2022 Page 1677-1682
MLA K.V Sai Likhita, Leela S, Deepak Kumar, and A Abhiram. "SUSPICIOUS HUMAN ACTIVITY RECOGNITION AND ALARMING SYSTEM USING CNN AND LSTM ALGORITHM." International Journal Of Advance Research And Innovative Ideas In Education 8.2(2022) : 1677-1682.
APA K.V Sai Likhita, Leela S, Deepak Kumar, & A Abhiram. (2022). SUSPICIOUS HUMAN ACTIVITY RECOGNITION AND ALARMING SYSTEM USING CNN AND LSTM ALGORITHM. International Journal Of Advance Research And Innovative Ideas In Education, 8(2), 1677-1682.
Chicago K.V Sai Likhita, Leela S, Deepak Kumar, and A Abhiram. "SUSPICIOUS HUMAN ACTIVITY RECOGNITION AND ALARMING SYSTEM USING CNN AND LSTM ALGORITHM." International Journal Of Advance Research And Innovative Ideas In Education 8, no. 2 (2022) : 1677-1682.
Oxford K.V Sai Likhita, Leela S, Deepak Kumar, and A Abhiram. 'SUSPICIOUS HUMAN ACTIVITY RECOGNITION AND ALARMING SYSTEM USING CNN AND LSTM ALGORITHM', International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 2, 2022, p. 1677-1682. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/SUSPICIOUS_HUMAN_ACTIVITY_RECOGNITION__AND_ALARMING_SYSTEM_USING_CNN_AND__LSTM_ALGORITHM_ijariie16407.pdf (Accessed : 29 April 2022).
Harvard K.V Sai Likhita, Leela S, Deepak Kumar, and A Abhiram. (2022) 'SUSPICIOUS HUMAN ACTIVITY RECOGNITION AND ALARMING SYSTEM USING CNN AND LSTM ALGORITHM', International Journal Of Advance Research And Innovative Ideas In Education, 8(2), pp. 1677-1682IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/SUSPICIOUS_HUMAN_ACTIVITY_RECOGNITION__AND_ALARMING_SYSTEM_USING_CNN_AND__LSTM_ALGORITHM_ijariie16407.pdf (Accessed : 29 April 2022)
IEEE K.V Sai Likhita, Leela S, Deepak Kumar, and A Abhiram, "SUSPICIOUS HUMAN ACTIVITY RECOGNITION AND ALARMING SYSTEM USING CNN AND LSTM ALGORITHM," International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 2, pp. 1677-1682, Mar-App 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/SUSPICIOUS_HUMAN_ACTIVITY_RECOGNITION__AND_ALARMING_SYSTEM_USING_CNN_AND__LSTM_ALGORITHM_ijariie16407.pdf [Accessed : 29 April 2022].
Turabian K.V Sai Likhita, Leela S, Deepak Kumar, and A Abhiram. "SUSPICIOUS HUMAN ACTIVITY RECOGNITION AND ALARMING SYSTEM USING CNN AND LSTM ALGORITHM." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 8 number 2 (29 April 2022).
Vancouver K.V Sai Likhita, Leela S, Deepak Kumar, and A Abhiram. SUSPICIOUS HUMAN ACTIVITY RECOGNITION AND ALARMING SYSTEM USING CNN AND LSTM ALGORITHM. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2022 [Cited : 29 April 2022]; 8(2) : 1677-1682. Available from: https://ijariie.com/AdminUploadPdf/SUSPICIOUS_HUMAN_ACTIVITY_RECOGNITION__AND_ALARMING_SYSTEM_USING_CNN_AND__LSTM_ALGORITHM_ijariie16407.pdf
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