FACE RECOGNITION BASED SECURED LOCKER CONTROL AND GESTURE BASED HOME APPLIANCE CONTROL SYSTEM FOR DISABLED PEOPLE WITHOUT USING INTERNET WITH AUTO ROBBERY ALERT

PALLAVI SINGH; E. Bhargava Krishna; T. Rajasimha; V. Rohith

Authors

PALLAVI SINGH Assistant professor, department of ECE, Hindustan Institute of Technology and Science Chennai, padur-603103 Author
E. Bhargava Krishna UG students, department of electronics and communication engineering, Hindustan Institute of Technology and Science Chennai, padur-603103 Author
T. Rajasimha UG students, department of electronics and communication engineering, Hindustan Institute of Technology and Science Chennai, padur-603103. Author
V. Rohith UG students, department of electronics and communication engineering, Hindustan Institute of Technology and Science Chennai, padur-603103 Author

Keywords:

Multi task system, Home Automation

Abstract

Automation is the fundamental requirement for the current world. Artificial Intelligence can be a potential application which offers help to everyone to customize Home automation. Motion acknowledgment alludes to perceiving the movement of the human parts. In this proposed work we will be using artificial intelligence which recognizes human gestures without the use of any kind of sensors with the help of a camera and also an additional security is provided using face recognition and if the registered human is successfully detected then the locker is unlocked along with the gesture recognition. If an unauthorized person attempts to unlock the locker an alert is sent to the user’s mobile application. In case of general home appliances only the human gestures are recognized to effectively operate the. Thus, our project aims at discovering an automation system without the use of sensors or a mobile app with the help of artificial intelligence.

References

Andrea Bandini, “Analysis of the hands in egocentric vision: A survey” [Vol 0162-8828, 2020]

Qiang Nie, J, Xin Wang, “View-invariant Human Action Recognition Based on A 3D Biocompelled Skeleton Model", IEEE Transactions on Image Processing, Vol. 14, No. 8, August 2019.

Ning Xu*, Nie*, Zhang, "Multi-Domain and Multi-Task Learning for Human Action Recognition", IEEE Transactions on Image Processing, VOL. 1057-7149, 2018.

Aouaidjia Kamel, "Profound Convolutional Neural Networks for Human Action Recognition Using Depth Maps and Postures", IEEE exchanges on frameworks, man, and computer science: Systems, VOL. 2168-2216, 2018.

Hongsong, "Beyond Joints: Learning Representations from Primitive Geometries for Skeleton-based Action Recognition and Detection", IEEE Transactions on Image Processing, VOL. 1057-7149, 2018.

Hossein Rahmani, "Learning a Deep Model for Human Action Recognition from Novel Viewpoints", IEEE Transactions on Pattern Analysis and Machine Intelligence, VOL. 0162-8828, 2018.

Jian Cheng, Hongsheng Li, and Ce Zhu, Senior Member, IEEE, "Silhouette Analysis for Human Action Recognition Based on Supervised Temporal t-SNE and Incremental Learning", IEEE exchanges on picture preparing, Vol. 24, No. 10, October 2016.

Nour El Din Elmadany, Student Member, IEEE, Yifeng He, "Data Fusion for Human Action Recognition by means of Biset/Multiset Globality Locality Preserving Canonical Correlation Analysis", IEEE Transactions on Image Processing, VOL. 1057-7149, 2018.

Ping Wei, Member, Sun, Member, and Nanning Zheng, "Learning Composite Latent Structures for 3D Human Action Representation and Recognition", VOL. 1520-9210, 2018.

Sid Ahmed Mounir Hammouche, Features and Classification Schemes for View-Invariant and Real-Time Human Action Recognition", IEEE Transactions on Cognitive and Developmental Systems, VOL. 2379-8920, 2018.

Zhigang Tu, Haoxin Li, and Junsong Yuan, "Action-Stage Emphasized Spatio-Temporal VLAD for Video Action Recognition", IEEE Transactions on Image Processing, VOL. 1057-7149, 2018.

Sungpill Choi, Seongwook Park, and Hoi-Jun Yoo, "A Memory-productive Hand Segmentation Architecture for Hand Gesture Recognition in Low-power Mobile Devices" [Vol 1057-7149, 2017]

Renliang Weng, Jiwen Lu, Senior Member, IEEE, and Yap-Peng Tan, Senior Member, IEEE, "Robust Point Set Matching for Partial Face Recognition" [Vol 1057-7149, 2016]

Abhijith Punnappurath, Ambasamudram Narayanan Rajagopalan, Senior Member, IEEE, Sima Taheri, Rama Chellappa, Guna Seetharaman, Fellow, IEEE, "Face Recognition Across Non-Uniform Motion Obscure, Illumination, and Pose" VOL. 24, NO. 7, JULY 2015

Jiwen Lu, Member, IEEE, Venice Erin Liong, Xiuzhuang Zhou, Member, IEEE, and Jie Zhou, Senior Learning Compact Binary Face Descriptor for Face Recognition” [Vol 0162-8828, 2015.