Gesture Detection Towards Real-Time Ergonomic Analysis for Intelligent Automation Assistance

Mgbemena, Chika Edith; Oyekan, John; Tiwari, Ashutosh; Xu, Yuchun; Fletcher, Sarah; Hutabarat, Windo; Prabhu, Vinayak Ashok

doi:10.1007/978-3-319-41697-7_20

Cited by 9 publications

(6 citation statements)

References 16 publications

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“…AR also has many bright prospects in some fields such as driving assistance, tourism, professional gesture assistance and game industry [2], [21], [22]. AR can use its combination of features to improve communication efficiency and provide visual information to better understand certain complex phenomena.…”

Section: B Argument Realitymentioning

confidence: 99%

Historical Data Trend Analysis in Extended Reality Education Field

Xing

Liang²,

Shell

et al. 2021

2021 IEEE 7th International Conference on Virtual Reality (ICVR)

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The arrival of the digital age brings Virtual Reality, Augmented Reality, and Mixed Reality technologies into our daily life. It provides a brand-new user experience to composite with real environments. Due to the development of related devices in recent years, the highly interactive connections between users and devices have gradually evolved. The paper starts from a literature review to discuss Virtual Reality, Augmented Reality, and Mixed Reality's history and social impact. The review reveals not only the traditional historical review but also contains a data research study. The research focuses on the case study paper, which proposed a bright, interactive future with technology in educational field. We compared the proposed future view and the current development. This paper collected 269 citations from 2005 to 2020 and analyzed them, assessing whether they belonged to technical or theoretical paper. The paper uses the collected data to discuss industrial developing trends and indicates the possible future view based on the data study result.

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Section: B Argument Realitymentioning

confidence: 99%

Historical Data Trend Analysis in Extended Reality Education Field

Xing

Liang²,

Shell

et al. 2021

2021 IEEE 7th International Conference on Virtual Reality (ICVR)

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“…A photogrammetric analysis method was used by (Naddeo et al, 2015) to measure joint angles of the Neck, shoulders, elbow and wrists for comfort evaluation of upper extremities of the human body. Microsoft Kinect has been recommended as an alternative method for risk assessment because of its low cost and 3D motion capture capabilities (Diego-Mas and Alcaide-Marzal, 2014;Dutta, 2012;Ho et al, 2016;Mgbemena et al, 2018Mgbemena et al, , 2017Mgbemena et al, , 2016Rosário, 2014).…”

Section: Ergonomic Risk Assessment Toolsmentioning

confidence: 99%

Ergonomic evaluation on the manufacturing shop floor: A review of hardware and software technologies

Mgbemena

Tiwari

et al. 2020

CIRP Journal of Manufacturing Science and Technology

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The high rate of work-related musculoskeletal disorders (WMSDs) among workers on the shop floor has led to the development of various ergonomic evaluation and risk assessment tools by researchers. This paper presents a summary of existing literature reviews of hardware and software technologies developed for effective ergonomic evaluation and correct risk assessment on manufacturing shop floors. Criteria was set for the review and after comprehensive search on 14 databases, 24 studies met the criteria. Old and modern ergonomic evaluation hardware and software technologies for effective evaluation on shop floors are identified. Most literatures cited the digital human models (DHMs), which can be created on many ergonomic evaluation software tools, to be an effective ergonomic evaluation tool. Gaps are identified with the use of DHMs for ergonomic evaluations. Ultimately, this study is a contribution towards identifying adequate ergonomic evaluation and correct risk assessment tools which when implemented on the Shop floor, can lead to improved productivity, enhanced efficiency and reduced cost.

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“…The assessment tool was developed through appropriate codes written in C# Programming Language and which uses the APIs provided by the Kinect for Windows SDK and the WPF Application of the .NET Framework 4.5 in Visual Studio [39]. The algorithm enables the Microsoft Kinect to record the joint angles of seated Operators and display same in real-time.…”

Section: Overview Of the Developed Posture Assessment Toolmentioning

confidence: 99%

Ergonomic Assessment Tool for Real-Time Risk Assessment of Seated Work Postures

Mgbemena

Tiwari

et al. 2017

Advances in Intelligent Systems and Computing

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et al. (2 more authors) (2018) Ergonomic assessment tool for real-time risk assessment of seated work postures.Abstract. This paper presents a posture assessment tool which utilizes the depth sensing techniques of a 3D imaging sensor for ergonomic risk assessment of seated worker's postures during controlled manual handling tasks. The tool, which has been developed to utilize the manual handling guidelines by the Health and Safety Regulators of some selected countries to measure and assess the postures of the upper bodies of operators, is tested to ascertain its effectiveness in assessing seated postures. The tool offers real-time posture assessment with real-time feedback to inform operators on when to adjust awkward seated postures. An experiment has been performed to record, assess and display the work postures of some seated operators in real-time with 'Good' and 'Awkward' postures identified with real-time feedback provided to the Operators. Results show that the tool can assess seated work postures in real-time which helps to reduce the rate of occurrence of Work-Related Musculoskeletal Disorders.

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Gesture Detection Towards Real-Time Ergonomic Analysis for Intelligent Automation Assistance

Cited by 9 publications

References 16 publications

Historical Data Trend Analysis in Extended Reality Education Field

Historical Data Trend Analysis in Extended Reality Education Field

Ergonomic evaluation on the manufacturing shop floor: A review of hardware and software technologies

Ergonomic Assessment Tool for Real-Time Risk Assessment of Seated Work Postures

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