Chinese Optics Letters, Volume. 13, Issue 8, 081201(2015)
Intuitive approach towards detection of attention tunneling while using a head-up display
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Fig. 2. (a) Outside world view with markers; (b) HUD symbology page.
Fig. 3. HUD and outside event detection during different AL conditions and varying CR.
Fig. 4. (a) Real-time image processing system developed for HUD image capturing and data logging; (b) example image frames extracted.
Fig. 5. (a) Contrast; (b) correlation; (c) energy; (d) homogeneity, statistical parameters; (e) standard deviation; (f) entropy. Series 1, trend for HUD images with low symbol salience; Series 2, nontunneled operation; Series 3, trend for HUD images with high symbol salience.
Fig. 8. Working of FIS-based attention tunneling detection system.
Table 1. Sample of Participant Score and Corresponding Alerts Generated by Our FIS-Based Detection System
View tableView in ArticleTable 1. Sample of Participant Score and Corresponding Alerts Generated by Our FIS-Based Detection System
AL ( ) CR HUD Event Detection (%) Outside Event Detection (%) Alert Generated a 30,000 1.016 54 98 T-LSL 20,000 1.275 66 96 T-LSL 5,000 2.5 80 94 NT 1,000 1.1 56 98 T-LSL 500 2 82 95 NT 500 10 98 75 T-HSL 100 1.1 56 98 T-LSL 50 2.5 87 94 NT 50 13.8 98 70 T-HSL
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Vinod Karar, Divya Agrawal, Smarajit Ghosh, "Intuitive approach towards detection of attention tunneling while using a head-up display," Chin. Opt. Lett. 13, 081201 (2015)
Paper Information
Category: Instrumentation, measurement, and metrology
Received: Feb. 16, 2015
Accepted: May. 27, 2015
Published Online: Sep. 14, 2018
The Author Email: Vinod Karar (vkarar@rediffmail.com)
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