Vinod Karar, Divya Agrawal, Smarajit Ghosh. Intuitive approach towards detection of attention tunneling while using a head-up display[J]. Chinese Optics Letters, 2015, 13(8): 081201
- Chinese Optics Letters
- Vol. 13, Issue 8, 081201 (2015)
Fig. 1. Experimental setup.
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. 6. Input MF.
Fig. 7. Rules of FIS for detection of attention tunneling.
Fig. 8. Working of FIS-based attention tunneling detection system.
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Table 1. Sample of Participant Score and Corresponding Alerts Generated by Our FIS-Based Detection System
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