6533b86efe1ef96bd12cbf03

RESEARCH PRODUCT

Design and Implementation of Deep Learning Based Contactless Authentication System Using Hand Gestures

Soumya J.Naveen PaluruLinga Reddy CenkeramaddiPhaneendra K. YalavarthyAveen Dayal

subject

Edge deviceComputer Networks and CommunicationsComputer scienceSpeech recognitionlcsh:TK7800-8360securitySign languageVDP::Teknologi: 500::Elektrotekniske fag: 540edge computingCode (cryptography)ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMSElectrical and Electronic EngineeringEdge computingAuthenticationhand gestures recognitionArtificial neural networkbusiness.industryDeep learninglcsh:Electronicsdeep learningneural networkscontactless authenticationHardware and ArchitectureControl and Systems Engineeringcamera based authenticationSignal ProcessingArtificial intelligencebusinessGesture

description

Hand gestures based sign language digits have several contactless applications. Applications include communication for impaired people, such as elderly and disabled people, health-care applications, automotive user interfaces, and security and surveillance. This work presents the design and implementation of a complete end-to-end deep learning based edge computing system that can verify a user contactlessly using &lsquo

yearjournalcountryeditionlanguage
2021-01-15
10.3390/electronics10020182https://hdl.handle.net/11250/2991835