Hand Gesture Based Region Marking for Tele-Support Using Wearables

Gupta, Akhil; Mohatta, Shreyash; Maurya, Jitender; Perla, Ramakrishna; Hebbalaguppe, Ramya; Hassan, Ehtesham

doi:10.1109/cvprw.2017.53

Cited by 4 publications

(3 citation statements)

References 26 publications

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“…AR/VR applications were also implemented for telesupport and coexistence reality [145], [146], in order to allow multiple users to collaborate together remotely. Specific fields of applications were remote co-surgery [145] and expert's tele-assistance and support [146].…”

Section: Hci/ Hrimentioning

confidence: 99%

“…swipe movements) recorded with a smartphone camera and frugal VR devices (e.g., google Cardboard), in order to enable interactions in the virtual environment [93], [94]. AR/VR applications were also implemented for telesupport and coexistence reality [145], [146], in order to allow multiple users to collaborate together remotely. Specific fields of applications were remote co-surgery [145] and expert's tele-assistance and support [146].…”

Section: Hci/ Hrimentioning

confidence: 99%

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Analysis of the Hands in Egocentric Vision: A Survey

Bandini

Zariffa

2023

IEEE Trans. Pattern Anal. Mach. Intell.

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Egocentric vision (a.k.a. first-person vision -FPV) applications have thrived over the past few years, thanks to the availability of affordable wearable cameras and large annotated datasets. The position of the wearable camera (usually mounted on the head) allows recording exactly what the camera wearers have in front of them, in particular hands and manipulated objects. This intrinsic advantage enables the study of the hands from multiple perspectives: localizing hands and their parts within the images; understanding what actions and activities the hands are involved in; and developing human-computer interfaces that rely on hand gestures. In this survey, we review the literature that focuses on the hands using egocentric vision, categorizing the existing approaches into: localization (where are the hands or part of them?); interpretation (what are the hands doing?); and application (e.g., systems that used egocentric hand cues for solving a specific problem). Moreover, a list of the most prominent datasets with hand-based annotations is provided.

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Section: Hci/ Hrimentioning

confidence: 99%

Section: Hci/ Hrimentioning

confidence: 99%

Analysis of the Hands in Egocentric Vision: A Survey

Bandini

Zariffa

2023

IEEE Trans. Pattern Anal. Mach. Intell.

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“…Experts can communicate with on-site operation and maintenance staff and provide directions through devices such as tablet computers and desktop computers. Remote assistance helps in reducing the high costs of the expert and also long downtimes due to travel [4].…”

Section: Introductionmentioning

confidence: 99%

An AR Operation and Maintenance System for Data Center

He¹,

Song²,

Ying³

et al. 2018

dtcse

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This thesis proposes an operation and maintenance system based on Augmented Reality (AR) technology using in data center equipment room. It includes two subsystems: AR inspection, AR maintenance. The functions include data management during inspection and maintenance; intelligent guidance of inspection operations; all-round identification and display of equipment front-end and back-end data; data tracking and recording of the whole maintenance process; remote expert maintenance assist in real time. It effectively solves the practical problems of low efficiency in traditional operation and maintenance, missed inspection, and high labor costs in operation and maintenance. In addition, this thesis also describes a research case. A traditional operation and maintenance system without AR technology was developed to compare the user experience with the AR operation and maintenance system (AR-OM system). Through actual user feedback data, this thesis makes a detailed analysis of AR technology for data center inspection efficiency and user experience enhancement.

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