Current Trends in Research and Application of Digital Human Modeling

Hanson, Lars; Högberg, Dan; Brolin, Erik; Billing, Erik; Pascual, Aitor Iriondo; Lamb, Maurice

doi:10.1007/978-3-030-74614-8_44

Cited by 4 publications

(3 citation statements)

References 9 publications

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“…As for the haptic demand, we would prove that its closed-loop error probability can be maintained under 10 À6 and latency can be guaranteed under 1 ms, thanks to the multiplexing method. Specifically, with haptic arrival rate between 1 À 100 pkts/s (qðtÞ ½0,0:1), 5 it can be derived that the uplink has an omit-table error probability of under 10 À10 with the local power being 0.01 À 1 mW, while the downlink approaches 10 À6.2 when BS transmitting power is 80 W (from 3GPP standard 31 ), according to (19) and (20), respectively. Moreover, the queuing violation probability is 10 À6.6 when the queuing latency is set as…”

Section: Safety Methodsmentioning

confidence: 99%

“…Notice that, the dataset transmission has a eMBB requirement, due to the large bit-size of dataset. 20 After that, a training module on the BS trains the user DT to keep the model consistent to the current user behavior, which lasts for one SP. Then, the updated DT parameters are sent into a compression module for compression, so as to reduce the remotely transmission delay.…”

Section: End-to-end Framework For Wmildmentioning

confidence: 99%

“…Then, the complete dataset is wirelessly transmitted to the local BS, which lasts for an entire SP. Notice that, the dataset transmission has a eMBB requirement, due to the large bit‐size of dataset 20 . After that, a training module on the BS trains the user DT to keep the model consistent to the current user behavior, which lasts for one SP.…”

Section: End‐to‐end Framework For Wmildmentioning

confidence: 99%

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Digital twin‐based framework for wireless multimodal interactions over long distance

Kang,

Li,

et al. 2023

Int J Communication

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SummaryWireless multimodal interactions over long distance (WMILD) would give rise to numerous thrilling applications, such as remote touching and immersive teleoperations. However, long distances can induce large propagation delays, which makes it difficult to meet the ultra‐low latency requirements in haptic‐visual interactions. Considering existing works mainly focused on the wireless access part, this paper designs an end‐to‐end framework for general WMILD applications based on the digital twin (DT) technology and proposes an intelligent resource allocation and parameter compression scheme to guarantee WMILD performance under constraint network resources. In the framework, user device can acquire real‐time remote interactions by performing local interactions with nearby base station (BS), where a DT of the remote side is deployed to predict the remote haptic‐visual feedbacks. A reliable DT updating process is carefully designed to guarantee the DT accurately model its dynamic physical counterpart. To optimize the updating reliability, we formulate the resource allocation and parameter compression to be a constraint‐Markov decision problem, under the constraints on energy consumption, multimodal interactions and updating latencies. Then, a safe deep reinforcement learning algorithm is proposed to adapt resources and compression according to the dynamic DT updating workload, multimodal data‐streams and remote transmission capacities. Simulation shows the framework can achieve high updating reliability compared with baselines.

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Section: Safety Methodsmentioning

confidence: 99%

Section: End-to-end Framework For Wmildmentioning

confidence: 99%

Section: End‐to‐end Framework For Wmildmentioning

confidence: 99%

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Digital twin‐based framework for wireless multimodal interactions over long distance

Kang,

Li,

et al. 2023

Int J Communication

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Lean Ergonomics—are relevant synergies of digital human models and digital twins defining a new emerging subdiscipline?

2022

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Manufacturing companies are facing new kinds of challenges. High cost and time pressure as well as the variety of product variants have added to supply chain issues due to unvorseeable major political, societal or natural events. This requires more than ever load optimization for all agents of a socio-technical system, to enable them to operate competitively and sustainably. Digital tools offer the possibility to proactively plan and analyze diverse processes. Recent developments indicat that human-centric (DHM) and process-centric (DT) tools are diverging rather than converging. The objective of this position paper is to analyze whether the vacuum created by human-centric and process-centric tools can be filled by the new subdiscipline of Lean Ergonomics (LE). LE is defined by synergies of production ergonomics and production management.Practical Relevance: By elaborating a methodological separation of Digital Twin (DT) and Digital Human Modeling (DHM), science and the economy shall be motivated to close the gap. Lean Ergonomics as an intersection of human-centered and system-centered engineering has the potential to incentivize companies to move towards sustainable ergonomics, as the company will directly benefit from this. Ergonomic methods and Key Performance Indicators (KPIs) at the micro level of the individual workstation enable the ergonomic and psychophysiological assessment of the human being in digital and analogue form. This is mirrored on production-organizational methods and KPIs and thereby tested for dependencies and interactions, which enable a holistic optimization of the socio-technical system.

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Virtual Reality and Digital Human Modeling for Ergonomic Assessment in Industrial Product Development: A Patent and Literature Review

2022

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The late detection of ergonomic component assembly issues during manufacturing processes has an influence on operator well-being and productivity, as well as having a high cost of correction. Although virtual reality may enhance digital human modeling, there is a knowledge gap on the combination of these technologies to assess ergonomics. This study aims to analyze the application of virtual reality and digital human modeling for physical ergonomics assessment during product development in the industry, through a review of patents and the literature. We searched the Derwent Innovation Index, Scopus, and Web of Science databases and found 250 patents and 18 articles. We observed an exponential increase in patents, concentrated among major technological players, and a wide range of technologies being invented. A significant number of studies focuses on the automotive and aviation industries. Despite a relative consensus in the literature on the benefits of integrating virtual reality and digital human modeling to assess physical ergonomics in the early stages of product development, the technologies are seldom combined in the same analysis; moreover, most cases continue to focus on analyzing pre-designed production processes, when resources are completely deployed. These outcomes may provide a reference for practitioners and researchers to develop novel solutions for the early detection of physical ergonomics issues in the industry.

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Current Trends in Research and Application of Digital Human Modeling

Cited by 4 publications

References 9 publications

Digital twin‐based framework for wireless multimodal interactions over long distance

Digital twin‐based framework for wireless multimodal interactions over long distance

Lean Ergonomics—are relevant synergies of digital human models and digital twins defining a new emerging subdiscipline?

Virtual Reality and Digital Human Modeling for Ergonomic Assessment in Industrial Product Development: A Patent and Literature Review

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