Journal of the Society for Information Display最新文献

Fatigued driving is one of the main causes of traffic accidents. In order to improve the detection speed of fatigue driving recognition, this paper proposes a driver fatigue detection method based on multi-parameter fusion of facial features. It uses a cascaded Adaboost object classifier to detect faces in video streams. The DliB library is employed for facial key point detection, which locates the driver's eyes and mouth to determine their states. The eye aspect ratio (EAR) is calculated to detect eye closure, and the mouth aspect ratio (MAR) is calculated to detect yawning frequency and count. The detected percentage of eye closure (PERCLOS) value is combined with yawning frequency and count, and a multi-feature fusion approach is used for fatigue detection. Experimental results show that the accuracy of blink detection is 91% and the accuracy of yawn detection is 96.43%. Furthermore, compared to the models mentioned in the comparative experiments, this model achieves two to four times faster detection times while maintaining accuracy.

Mixed reality technology can be applied to simulation training, improve surgical performance, enhance 3D game experience, and so on, attracting extensive attention of researchers. The perception of the user about head-mounted display MR using HoloLens is critical, especially for precision applications such as virtual hoisting. Designing and adding appropriate depth cues in MR scenes is an effective way to improve users' depth perception. In this study, taking virtual hoisting training system as an example, the depth perception strategy of multi-cue fusion is proposed to improve the perception effect. Based on the mechanism of human depth perception, five kinds of depth cues are designed. The depth perception effect of adding single cue is studied by perceptual matching experiment. Based on the principle of fuzzy clustering, a multiple-cue comprehensive depth optimization strategy on viewing distance scale is proposed. Finally, the perceptual matching results demonstrate the effectiveness of the multi-cue fusion strategy, and the average error is reduced by 20.68% compared with the single-cue strategy, which can significantly improve the spatial depth perception. This research can provide a reference for improving users' depth perception in interactive MR simulation systems.

In recent years, techniques for accelerating rendering by exploiting the limitations of the human visual system have become increasingly prevalent. The foveated rendering method significantly reduces the computational requirements during rendering by reducing image quality in peripheral regions. In this paper, we propose a scene-content-sensitive real-time adaptive foveated rendering method. First, we pre-render the three-dimensional (3D) scene at a low resolution. Then, we utilize the low-resolution pre-rendered image as input to extract edge, local contrast, and color features. Subsequently, we generate a screen-space region division map based on the gaze point position. Next, we calculate the visual importance of each 16 × 16 pixel tile based on edge, local contrast, color, and screen-space region. We then map the visual importance to the shading rate to generate a shading rate control map for the current frame. Finally, we complete the rendering of the current frame based on variable rate shading technology. Experimental results demonstrate that our method effectively enhances the visual quality of images near the foveal region while generating high quality foveal region images. Furthermore, our method can significantly improve performance compared to per-pixel shading method and existing scene-content-based foveated rendering methods.

In field operations with large machines, onsite large task spaces have been typically required. In these cases, remote skilled workers have to provide a step-by-step guide by observing the onsite situation around the large task spaces in three dimensions, instructing onsite unskilled workers on how to perform the tasks with the correct hand gestures at the right position, and switching between observation and instruction frequently during the remote support. In this study, we developed a Metaverse-based remote support system with a seamless user interface for switching between free viewpoint observation and hand gesture instruction. The proposed system enables remote skilled workers to observe the onsite field from any viewpoint, transfer hand gesture instruction to onsite workers, and seamlessly switch between free viewpoint observation and free hand gesture instruction without having to change devices. We compared the time efficiency of the proposed system and a conventional system through experiments with 28 users and found that our system improved the observation time efficiency by 65.7%, the instruction time efficiency by 27.9%, and the switching time efficiency between observation and instruction by 14.6%. These results indicate that the proposed system enables remote skilled workers to support onsite workers quickly and efficiently.

We fabricated a microdisplay with a 1.50-in. organic light-emitting diode (OLED) and a pixel density as high as 3207 ppi. An ideal display with high luminance, low power consumption, an ultrahigh aperture ratio, and a wide color gamut can be fabricated using a metal maskless lithography technology for patterning OLED layers and an oxide semiconductor large-scale integration (OSLSI)/silicon LSI backplane. We designed a virtual reality device that exhibited less ghosting and a field of view of 90° or greater by combining the microdisplay and a novel pancake lens.

As ultra-high-definition displays have gained popularity, mitigating the horizontal crosstalk effect in 8K LCD panels is crucial. High display resolution requires narrower signal line integration, intensifying the coupling effect. Traditional methods like Vcom feedback and increasing analog voltage drain-drain (AVDD) load are slower and less accurate, leading to increased power consumption. In response, we propose an advanced digital signal compensation method. In this study, we developed a predictive model and investigated the intricate relationships among AVDD, Vcom, and storage capacity (Cst) ripples on horizontal crosstalk. Optimizing the ripple change (∆G) by varying the compensation coefficient (a) and decay ratio (τ) significantly reduces crosstalk effects. The digital compensation method allows rapid and precise compensation without delays, reducing horizontal crosstalk in 8K LCD panels from 4% to below 0.9%. This surpasses the requirement of minimizing crosstalk to less than 2%, substantially enhancing the image quality of high-resolution displays.

A wide-viewing-angle dual-view integral imaging display is proposed. A micro-lens array, a polarizer parallax barrier, and a display panel are aligned in sequence. The display panel is covered with the polarizer parallax barrier. Two types of orthogonal polarizer slits in the polarizer parallax barrier are alternately aligned. Two types of orthogonal polarizer slits polarize the lights from two types of elemental images. The micro-lens array propagates two types of polarized lights into two primary viewing zones, which coincide at the optimal viewing distance. Different 3D images are, respectively, observed through two types of polarizer glasses. The viewing angle is enhanced and unrelated to the number of elemental images.

Ha, J, Lee, S, Park, M, Kim, H, Jung, YK, Han, C, Hwang, J, Park, G, Lee, HJ, Bae, WK, Noh, S, Kwak, D, Kim, S, Yoon, YG, Lee, C Dual ligand exchange of Cd-free quantum dots and optimal control of ink formulation for improving the performance of all-inkjet-printed qunatum dot light-emitting diodes. J Soc Inf Display. 2024; 32(5): 332–340. https://doi.org/10.1002/jsid.1296

In the article title, the word “quantum” was mistakenly misspelled. The correct article title is below.

“Dual ligand exchange of Cd-free quantum dots and optimal control of ink formulation for improving the performance of all-inkjet-printed quantum dot light-emitting diodes”

We apologize for this error.

Antireflection surfaces are widely used in optical devices (such as vehicle display, solar cells, and architectural glass) to reduce the reflection and increase transmittance. Plasma etching shows great potential in making subwavelength antireflection structures for its advantage of scalable, low-cost, and applicable in flexible substrates. Here, we demonstrate an antireflection nanostructure by O₂ plasma etching on poly (ethylene terephthalate) (PET) substrate without additional corrosive gas species or antireflective coatings. Nanopores on the surface were formed due to the different etching rates of the organic region and silica region of the surface. The solar weighted average transmittance was improved from 91.6% to 94.8% for single-side treated PET with silica antiblocking layer. The transmission increment was attributed to the gradient refractive index of the nanostructured surface due to the elimination of step discontinuity in refractive index. The result shows a highly efficient, eco-friendly, solvent-free, economical, and sputtering target-free method for reducing the reflection and increasing the transmittance of the substrates.

This study developed a technology for a vertical field-effect transistor (VFET) incorporating c-axis aligned crystal oxide semiconductor on a Gen 3.5 glass substrate. VFETs, with a channel length of 0.5 μm, demonstrated stable characteristics with minimal variation, higher on-state current compared with low-temperature polysilicon FETs, and extremely low off-state leakage current. A prototype 513-ppi organic light-emitting diode display that features a red, green, and blue stripe arrangement and includes an internal compensation circuit with a configuration of six transistors and two capacitors was fabricated by harnessing the advantageous features of VFETs. Such a display was previously unattainable with planar FETs. Thus, the developed VFET technology presents a viable pathway for achieving ultrahigh-resolution panels on glass substrates.