On-body sensing technologies and signal processing techniques in addressing safety of human machine collaboration
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| Publicat a: | Human-Intelligent Systems Integration vol. 6, no. 1 (Dec 2024), p. 103 |
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| Publicat: |
Springer Nature B.V.
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| Matèries: | |
| Accés en línia: | Citation/Abstract Full Text Full Text - PDF |
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MARC
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| 001 | 3157769939 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2524-4876 | ||
| 022 | |a 2524-4884 | ||
| 024 | 7 | |a 10.1007/s42454-024-00057-5 |2 doi | |
| 035 | |a 3157769939 | ||
| 045 | 2 | |b d20241201 |b d20241231 | |
| 245 | 1 | |a On-body sensing technologies and signal processing techniques in addressing safety of human machine collaboration | |
| 260 | |b Springer Nature B.V. |c Dec 2024 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Safety is a challenge in human machine collaboration despite of the advantages in achieving efficiency, cost reduction and productivity in a collaborative scenario between human and machine/robot. During collaboration with machines, the user might not be able to follow the collaborative tasks as expected due to the cognitive burden causing potential safety concerns such as collision. Addressing this challenge, the aim of this paper is to explore the potential of on-body sensing systems in study of user experience and the psychological condition during the collaboration between machines and human. As the psychological condition is reflected in physiological signals, sensing technologies and signal processing techniques to extract features from physiological signals are explored with applicability in human machine collaboration scenarios. An experiment is designed utilising an industrial collaborative robot arm while quantitative and qualitative data is gathered for this purpose exploring the problem to study user experience and impact of mental strain and cognitive workload on user performance and experience during human machine collaboration. Results show that an adaptive machine to user experience measured by on-body sensing systems during the collaboration has the potential to address safety in human machine collaboration while improving performance and user experience. | |
| 653 | |a Physiology | ||
| 653 | |a Collaboration | ||
| 653 | |a User experience | ||
| 653 | |a Blood vessels | ||
| 653 | |a Electrodes | ||
| 653 | |a Signal processing | ||
| 653 | |a Human performance | ||
| 653 | |a Laboratories | ||
| 653 | |a Robots | ||
| 653 | |a ISO standards | ||
| 653 | |a Cognitive ability | ||
| 653 | |a Electroencephalography | ||
| 653 | |a Cardiovascular system | ||
| 653 | |a Workloads | ||
| 653 | |a Cognitive tasks | ||
| 653 | |a Cognition & reasoning | ||
| 653 | |a Asymmetry | ||
| 653 | |a Qualitative analysis | ||
| 653 | |a Adaptive systems | ||
| 653 | |a Fourier transforms | ||
| 653 | |a Robot arms | ||
| 653 | |a Sensors | ||
| 653 | |a Design | ||
| 653 | |a Nervous system | ||
| 653 | |a Information processing | ||
| 653 | |a Spinal cord | ||
| 653 | |a Human body | ||
| 773 | 0 | |t Human-Intelligent Systems Integration |g vol. 6, no. 1 (Dec 2024), p. 103 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3157769939/abstract/embedded/75I98GEZK8WCJMPQ?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3157769939/fulltext/embedded/75I98GEZK8WCJMPQ?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3157769939/fulltextPDF/embedded/75I98GEZK8WCJMPQ?source=fedsrch |