Zobrazeno 1 - 10
of 25 436
pro vyhledávání: '"gesture recognition"'
Publikováno v:
Alexandria Engineering Journal, Vol 107, Iss , Pp 434-442 (2024)
In daily fitness activities, posture recognition and motion capture are extremely important. This study aims to explore skeleton-based action recognition technology and compare the effects of using only skeleton information and fused image features.
Externí odkaz:
https://doaj.org/article/c1c9d9e480584cd5bb72f2665dc4fadf
Publikováno v:
IET Image Processing, Vol 18, Iss 13, Pp 4023-4031 (2024)
Abstract In practical production applications, the efficiency and success rate of gesture recognition directly affect the user experience and work efficiency. However, the existing gesture recognition models have the problem of a large number of mode
Externí odkaz:
https://doaj.org/article/df741cb7a4554906b325e7f7efa96ec5
Autor:
Denis V. Ivanko, Dmitry A. Ryumin
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 24, Iss 5, Pp 669-686 (2024)
A review of modern methods and technologies for automatic machine translation for the deaf and hard of hearing is presented, including recognition and synthesis of both spoken and sign languages. These methods aim to facilitate effective communicat
Externí odkaz:
https://doaj.org/article/4a5381e1f4dd42c7b68f30426d74f8d4
Publikováno v:
Cybernetics and Information Technologies, Vol 24, Iss 3, Pp 163-181 (2024)
Real-time Hand Gesture Recognition (HGR) has emerged as a vital technology in human-computer interaction, offering intuitive and natural ways for users to interact with computer-vision systems. This comprehensive review explores the advancements, cha
Externí odkaz:
https://doaj.org/article/0c201105832042488ec352d81027bef1
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 24, Iss , Pp 393-403 (2024)
Background and objective: Medical image visualization is a requirement in many types of surgery such as orthopaedic, spinal, thoracic procedures or tumour resection to eliminate risk such as “wrong level surgery”. However, direct contact with phy
Externí odkaz:
https://doaj.org/article/6c42a734f88b49f99c9cb5381720c437
Autor:
Qianhui Chen
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-16 (2024)
Abstract The continuous development of high-speed Internet technology has made the application of robots increasingly widespread. Current robots and human–computer interaction systems mostly use rigid materials, such as metals and semiconductors, w
Externí odkaz:
https://doaj.org/article/95e72d3d8dad43b296b358a68a99b60f
Publikováno v:
International Journal of Technology, Vol 15, Iss 4, Pp 1102-1117 (2024)
Conventional contact-based hand signature recognition methods are raising hygienic concerns due to shared acquisition devices among the public. Therefore, this research aimed to propose a contactless in-air hand gesture signature (iHGS) recognitio
Externí odkaz:
https://doaj.org/article/36b84b4b4d5e44769c45af18498991b7
Autor:
Samat Mukhanov, Raissa Uskenbayeva, Abdul Ahmad Rakhim, Im Cho Young, Aknur Yemberdiyeva, Zhansaya Bekaulova
Publikováno v:
Scientific Journal of Astana IT University, Pp 75-95 (2024)
Currently, an increasing amount of research is directed towards solving tasks using computer vision libraries and artificial intelligence tools. Most common are the solutions and approaches utilizing machine and deep learning models of artificial neu
Externí odkaz:
https://doaj.org/article/c8c4d89ed0604184b521feea792f5b83
Publikováno v:
ICT Express, Vol 10, Iss 3, Pp 570-575 (2024)
In this study, we present the Discriminative Temporal Shift Module (D-TSM), an enhancement of the Temporal Shift Module (TSM) for action recognition. TSM has limitations in capturing intricate temporal dynamics due to its simplistic feature shifting.
Externí odkaz:
https://doaj.org/article/80c614a3bc494a8b8313a763370b33d7
Autor:
Huynh Hoang Nhut, Diep Quoc Tuan Nguyen, Dinh Minh Quan Cao, Tran Anh Tu, Dang Nguyen Chau, Phan Thien Luan, Tran Trung Nghia, Ching Congo Tak Shing
Publikováno v:
Journal of Electrical Bioimpedance, Vol 15, Iss 1, Pp 63-74 (2024)
Gesture recognition is a crucial aspect in the advancement of virtual reality, healthcare, and human-computer interaction, and requires innovative methodologies to meet the increasing demands for precision. This paper presents a novel approach that c
Externí odkaz:
https://doaj.org/article/c37c761b70b74a46bf684b8ac924f8e7