Visual Target Research Articles

Modulations of stretch reflex by altering visuomotor contexts.

Various functional modulations of the stretch reflex help to stabilize actions, but the computational mechanism behind its context-dependent tuning remains unclear. While many studies have demonstrated that motor contexts associated with the task goal cause functional modulation of the stretch reflex of upper limbs, it is not well understood how visual contexts independent of the task requirements affect the stretch reflex. To explore this issue, we conducted two experiments testing 20 healthy human participants (age range 20-45, average 31.3 ± 9.0), in which visual contexts were manipulated in a visually guided reaching task. During wrist flexion movements toward a visual target, a mechanical load was applied to the wrist joint to evoke stretch reflex of wrist flexor muscle (flexor carpi radialis). The first experiment (n = 10) examined the effect of altering the visuomotor transformation on the stretch reflex that was evaluated with surface electromyogram. We found that the amplitude of the stretch reflex decreased (p = 0.024) when a rotational transformation of 90° was introduced between the hand movement and the visual cursor, whereas the amplitude did not significantly change (p = 0.26) when the rotational transformation was accompanied by a head rotation so that the configuration of visual feedback was maintained in visual coordinates. The results suggest that the stretch reflex was regulated depending on whether the visuomotor mapping had already been acquired or not. In the second experiment (n = 10), we examined how uncertainty in the visual target or hand cursor affects the stretch reflex by removing these visual stimuli. We found that the reflex amplitude was reduced by the disappearance of the hand cursor (p = 0.039), but was not affected by removal of the visual target (p = 0.27), suggesting that the visual state of the body and target contribute differently to the reflex tuning. These findings support the idea that visual updating of the body state is crucial for regulation of quick motor control driven by proprioceptive signals.

Addressing the Association Between Action Video Game Playing Experience and Visual Search in Naturalistic Multisensory Scenes.

Prior studies investigating the effects of routine action video game play have demonstrated improvements in a variety of cognitive processes, including improvements in attentional tasks. However, there is little evidence indicating that the cognitive benefits of playing action video games generalize from simplified unisensory stimuli to multisensory scenes- a fundamental characteristic of natural, everyday life environments. The present study addressed if video game experience has an impact on crossmodal congruency effects when searching through such multisensory scenes. We compared the performance of action video game players (AVGPs) and non-video game players (NVGPs) on a visual search task for objects embedded in video clips of realistic scenes. We conducted two identical online experiments with gender-balanced samples, for a total of N = 130. Overall, the data replicated previous findings reporting search benefits when visual targets were accompanied by semantically congruent auditory events, compared to neutral or incongruent ones. However, according to the results, AVGPs did not consistently outperform NVGPs in the overall search task, nor did they use multisensory cues more efficiently than NVGPs. Exploratory analyses with self-reported gender as a variable revealed a potential difference in response strategy between experienced male and female AVGPs when dealing with crossmodal cues. These findings suggest that the generalization of the advantage of AVG experience to realistic, crossmodal situations should be made with caution and considering gender-related issues.

Table tennis players use superior saccadic eye movements to track moving visual targets.

Table tennis players perform visually guided visuomotor responses countlessly. The exposure of the visual system to frequent and long-term motion stimulation has been known to improve perceptual motion detection and discrimination abilities as a learning effect specific to that stimulus, so may also improve visuo-oculomotor performance. We hypothesized and verified that table tennis players have good spatial accuracy of saccades to moving targets. University table tennis players (TT group) and control participants with no striking-sports experience (Control group) wore a virtual reality headset and performed two ball-tracking tasks to track moving and stationary targets in virtual reality. The ball moved from a predetermined position on the opponent's court toward the participant's court. A total of 54 conditions were examined for the moving targets in combinations of three ball trajectories (familiar parabolic, unfamiliar descent, and unfamiliar horizontal), three courses (left, right, and center), and six speeds. All participants primarily used catch-up saccades to track the moving ball. The TT group had lower mean and inter-trial variability in saccade endpoint error compared to the Control group, showing higher spatial accuracy and precision, respectively. It suggests their improvement of the ability to analyze the direction and speed of the ball's movement and predict its trajectory and future destination. The superiority of the spatial accuracy in the TT group was seen in both the right and the left courses for all trajectories but that of precision was for familiar parabolic only. The trajectory dependence of improved saccade precision in the TT group implies the possibility that the motion vision system is trained by the visual stimuli frequently encountered in table tennis. There was no difference between the two groups in the onset time or spatial accuracy of saccades for stationary targets appearing at various positions on the ping-pong table. Table tennis players can obtain high performance (spatial accuracy and precision) of saccades to track moving targets as a result of motion vision ability improved through a vast amount of visual and visuo-ocular experience in their play.

New Evidence for Retrospectively Cued Perception.

Past research suggests a continuity between perception and memory, as reflected in influences of orienting of spatial attention by cues presented after a visual target offset (post-target cues) on target perception. Conducting two experiments, we tested and confirmed this claim. Our study revealed an elevated reliance on post-target cues for target detection with diminishing target visibility, leading to better performance in validly versus invalidly cued trials, indicative of contrast gain. We demonstrated this post-target cueing impact on target perception without a postcue response prompt, meaning that our results truly reflected a continuity between perception and memory rather than a task-specific impact of having to memorize the target due to a response prompt. While previous studies found an improvement in accuracy through valid compared to invalid cues using liminal targets, in Experiment 1, we further showed an influence of attention on participants' response time by the post-target cues with cues presented away from a clearly visible target. This suggests that visual interactions at the target location provided no better explanation of post-target cueing effects. Our results generalize prior research with liminal targets and confirm the view of a perception-memory continuum so that visual target processing is not shielded against visuospatial orienting of attention elicited by events following the offset of the visual target.

Ipsilateral lower limb motor performance and its association with gait after stroke.

Motor deficits of the ipsilateral lower limb could occur after stroke and may be associated with walking performance. This study aimed to determine whether the accuracy and movement path of targeted movement in the ipsilateral lower limb would be impaired in the chronic stage of stroke and whether this impairment would contribution to gait. Twenty adults with chronic stroke and 20 age-matched controls went through Mini Mental Status Examination (MMSE), and a series of sensorimotor tests. The targeted movement tasks were to place the big toe ipsilateral to the lesion at an external visual target (EXT) or a proprioceptive target (PRO, contralateral big toe) with eyes open (EO) or closed (EC) in a seated position. A motion analysis system was used to obtain the data for the calculation of error distance, deviation from a straight path, and peak toe-height during the targeted movement tasks and gait velocity, step length, step width and step length symmetry of the lower limb ipsilateral to the brain lesion during walking. The stroke group had significantly lower MMSE and poorer visual acuity on the ipsilateral side, but did not differ in age or other sensorimotor functions when compared to the controls. For the targeted movement performance, only the deviation in PRO-EC showed significant between-group differences (p = 0.02). Toe-height in both EXT-EO and in PRO-EO was a significant predictor of step length (R2 = 0.294, p = 0.026) and step length symmetry (R2 = 0.359, p = 0.014), respectively. The performance of ipsilateral lower limb targeted movement could be impaired after stroke and was associated with step length and its symmetry. The training of ipsilateral targeted movement with unseen proprioceptive target may be considered in stroke rehabilitation.

Visual Feature Tuning Properties of Short-Latency Stimulus-Driven Ocular Position Drift Responses during Gaze Fixation.

Ocular position drifts during gaze fixation are significantly less well understood than microsaccades. We recently identified a short-latency ocular position drift response, of ∼1 min arc amplitude, that is triggered within <100 ms by visual onsets. This systematic eye movement response is feature-tuned and seems to be coordinated with a simultaneous resetting of the saccadic system by visual stimuli. However, much remains to be learned about the drift response, especially for designing better-informed neurophysiological experiments unraveling its mechanistic substrates. Here we systematically tested multiple new feature tuning properties of drift responses. Using highly precise eye tracking in three male rhesus macaque monkeys, we found that drift responses still occur for tiny foveal visual stimuli. Moreover, the responses exhibit size tuning, scaling their amplitude (both up and down) as a function of stimulus size, and they also possess a monotonically increasing contrast sensitivity curve. Importantly, short-latency drift responses still occur for small peripheral visual targets, which additionally introduce spatially directed modulations in drift trajectories toward the appearing peripheral stimuli. Drift responses also remain predominantly upward even for stimuli exclusively located in the lower visual field and even when starting gaze position is upward. When we checked the timing of drift responses, we found it was better synchronized to stimulus-induced saccadic inhibition than to stimulus onset. These results, along with a suppression of drift response amplitudes by peristimulus saccades, suggest that drift responses reflect the rapid impacts of short-latency and feature-tuned visual neural activity on final oculomotor control circuitry in the brain.

MTD-YOLOv5: Enhancing marine target detection with multi-scale feature fusion in YOLOv5 model

Underwater light attenuation leads to decreased image contrast. This reduction in contrast subsequently decreases target visibility. Additionally, marine target detection is challenging due to multi-scale problems from varying target-to-device distances, complex target clustering, and noise from waterborne particulates.To address these issues, we propose MTD-YOLOv5.Initially, we enhance image contrast with grayscale equalization and mitigate color shift issues through color space transformation.We then introduce a novel feature extraction module, PCBR, combining max pooling and convolution layers for more effective target feature extraction from the background.Furthermore, we present the Multi-Scale Perceptual Hybrid Pooling (MHP) module.This module integrates horizontal and vertical receptive fields to establish long-range dependencies, thereby capturing hidden target information in deep network feature maps. In the Labeled Fishes in the Wild test datasets, MTD-YOLOv5 achieves a precision of 88.1% and a mean Average Precision (mAP[0.5:.95]) of 49.6%.These results represent improvements of 2.6% in precision and 0.4% in mAP over the original YOLOv5.

GT-YOLO: Nearshore Infrared Ship Detection Based on Infrared Images

Traditional visible light target detection is usually applied in scenes with good visibility, while the advantage of infrared target detection is that it can detect targets at nighttime and in harsh weather, thus being able to be applied to ship detection in complex sea conditions all day long. However, in coastal areas where the density of ships is high and there is a significant difference in target scale, this can lead to missed detection of some dense and small targets. To address this issue, this paper proposes an improved detection model based on YOLOv5s. Firstly, this article designs a feature fusion module based on a fusion attention mechanism to enhance the feature fusion of the network and introduces SPD-Conv to improve the detection accuracy of small targets and low-resolution images. Secondly, by introducing Soft-NMS, the detection accuracy is improved while also addressing the issue of missed detections in dense occlusion situations. Finally, the improved algorithm in this article increased mAP0.5 by 1%, mAP0.75 by 5.7%, and mAP0.5:0.95 by 5% on the infrared ship dataset. A large number of comparative experiments have shown that the improved algorithm in this article is effective at improving detection capabilities.

PAM-FOG Net: A Lightweight Weed Detection Model Deployed on Smart Weeding Robots

Visual target detection based on deep learning with high computing power devices has been successful, but the performance in intelligent agriculture with edge devices has not been prominent. Specifically, the existing model architecture and optimization methods are not well-suited to low-power edge devices, the agricultural tasks such as weed detection require high accuracy, short inference latency, and low cost. Although there are automated tuning methods available, the search space is extremely large, using existing models for compression and optimization greatly wastes tuning resources. In this article, we propose a lightweight PAM-FOG net based on weed distribution and projection mapping. More significantly, we propose a novel model compression optimization method to fit our model. Compared with other models, PAM-FOG net runs on smart weeding robots supported by edge devices, and achieves superior accuracy and high frame rate. We effectively balance model size, performance and inference speed, reducing the original model size by nearly 50%, power consumption by 26%, and improving the frame rate by 40%. It shows the effectiveness of our model architecture and optimization method, which provides a reference for the future development of deep learning in intelligent agriculture.

Abnormal Oculomotor Corollary Discharge Signaling as a Trans-diagnostic Mechanism of Psychosis.

Corollary discharge (CD) signals are "copies" of motor signals sent to sensory areas to predict the corresponding input. They are a posited mechanism enabling one to distinguish actions generated by oneself vs external forces. Consequently, altered CD is a hypothesized mechanism for agency disturbances in psychosis. Previous studies have shown a decreased influence of CD signals on visual perception in individuals with schizophrenia-particularly in those with more severe positive symptoms. We therefore hypothesized that altered CD may be a trans-diagnostic mechanism of psychosis. We examined oculomotor CD (using the blanking task) in 49 participants with schizophrenia or schizoaffective disorder (SZ), 36 bipolar participants with psychosis (BPP), and 40 healthy controls (HC). Participants made a saccade to a visual target. Upon saccade initiation, the target disappeared and reappeared at a horizontally displaced position. Participants indicated the direction of displacement. With intact CD, participants can make accurate perceptual judgements. Otherwise, participants may use saccade landing site as a proxy of pre-saccadic target to inform perception. Thus, multi-level modeling was used to examine the influence of target displacement and saccade landing site on displacement judgements. SZ and BPP were equally less sensitive to target displacement than HC. Moreover, regardless of diagnosis, SZ and BPP with more severe positive symptoms were more likely to rely on saccade landing site. These results suggest that altered CD may be a trans-diagnostic mechanism of psychosis.

HRYNet: A Highly Robust YOLO Network for Complex Road Traffic Object Detection.

Object detection is a crucial component of the perception system in autonomous driving. However, the road scene presents a highly intricate environment where the visibility and characteristics of traffic targets are susceptible to attenuation and loss due to various complex road scenarios such as lighting conditions, weather conditions, time of day, background elements, and traffic density. Nevertheless, the current object detection network must exhibit more learning capabilities when detecting such targets. This also exacerbates the loss of features during the feature extraction and fusion process, significantly compromising the network's detection performance on traffic targets. This paper presents a novel methodology by which to overcome the concerns above, namely HRYNet. Firstly, a dual fusion gradual pyramid structure (DFGPN) is introduced, which employs a two-stage gradient fusion strategy to enhance the generation of more comprehensive multi-scale high-level semantic information, strengthen the interconnection between non-adjacent feature layers, and reduce the information gap that exists between them. HRYNet introduces an anti-interference feature extraction module, the residual multi-head self-attention mechanism (RMA). RMA enhances the target information by implementing a characteristic channel weighting policy, thereby reducing background interference and improving the attention capability of the network. Finally, the detection performance of HRYNet was evaluated by utilizing three datasets: the horizontally collected dataset BDD1000K, the UAV high-altitude dataset Visdrone, and a custom dataset. Experimental results demonstrate that HRYNet achieves a higher mAP_0.5 compared with YOLOv8s on the three datasets, with increases of 10.8%, 16.7%, and 5.5%, respectively. To optimize HRYNet for mobile devices, this study presents Lightweight HRYNet (LHRYNet), which effectively reduces the number of model parameters by 2 million. The results demonstrate that LHRYNet outperforms YOLOv8s in terms of mAP_0.5, with improvements of 6.7%, 10.9%, and 2.5% observed on the three datasets, respectively.

Efficient correlation information mixer for visual object tracking

Recently, Siamese tracking framework has been widely used in the visual tracking community. Siamese trackers usually use Cross-Correlation to aggregate templates and search information, so they realize the encoding of target information. However, the previous Cross-Correlation methods either ignore the object channel semantic information or ignore the object’s local information. This seriously limits the representation of embedded correlation features and reduces the performance of the trackers. In this paper, to solve these problems, we propose an effective correlation information mixer for visual target tracking. We design an information fusion network to efficiently aggregate template features and search features. In the information fusion network, we use Depthwise Cross-Correlation and Pointwise Cross-Correlation to extract the channel semantic information and local information of the object respectively, and use the correlation information mixer to fully fuse the two correlation maps to achieve the optimal target information encoding. Extensive experimental results show that our tracker achieves competitive performance compared with other state-of-the-art trackers on four benchmarks, including OTB, VOT, UAV123, and LaSOT.

Exposure to temporal variability promotes subsequent adaptation to new temporal regularities

Noise is intuitively thought to interfere with perceptual learning; However, human and machine learning studies suggest that, in certain contexts, variability may reduce overfitting and improve generalizability. Whereas previous studies have examined the effects of variability in learned stimuli or tasks, it is hitherto unknown what are the effects of variability in the temporal environment. Here, we examined this question in two groups of adult participants (N = 40) presented with visual targets at either random or fixed temporal routines and then tested on the same type of targets at a new nearly-fixed temporal routine. Findings reveal that participants of the random group performed better and adapted quicker following a change in the timing routine, relative to participants of the fixed group. Corroborated with eye-tracking and computational modeling, these findings suggest that prior exposure to temporal variability promotes the formation of new temporal expectations and enhances generalizability in a dynamic environment. We conclude that noise plays an important role in promoting perceptual learning in the temporal domain: rather than interfering with the formation of temporal expectations, noise enhances them. This counterintuitive effect is hypothesized to be achieved through eliminating overfitting and promoting generalizability.

Differences in left and right lower limb control strategies in coping with visual tracking tasks during bipedal standing.

Differences in motor control between the lower limbs may influence the risk of sports injury and recovery from rehabilitation. In this study, differences in the visual feedback ability of the left and right lower limbs were assessed using visual target tracking tasks. Thirty-four healthy young subjects (aged 20.4 ± 1.2 years) were asked to move their bodies back and forth while tracking a visual target displayed on a monitor in front of them for 30 s. The two target motions were sinusoidal (i.e., predictable patterns) and more complex (random) patterns. To assess the ability of the lower limbs to follow visual target tracking, antero-posterior CoP (right limb, CoPap-r; left limb, CoPap-l) and medio-lateral CoP (right limb, CoPml-r; left limb, CoPml-l) data were measured using a stabilometer. Tracking ability by visual feedback ability was calculated as the difference in displacement between the target signal and the trajectories of the right and left pressure centers as trapezoidal areas, and a smaller sum of area (SoA) over the entire measurement time was defined as a greater tracking ability. Regarding the SoA in the anterior-posterior CoP, the mean SoA in the sinusoidal and random tasks was significantly lower in the CoP-r data than in the CoP-l data, indicating that the right lower limb had a more remarkable ability to follow visual target tracking. Regarding the SoA in the medial-lateral direction (CoP), the mean SoA in the sinusoidal and random tasks did not significantly differ between the two legs. The right lower limb may have a tracking function activated by the target signal when responding to visual stimuli. Identifying the motor strategies of each lower limb in response to visual stimuli will not only help identify potential differences between each lower limb but also suggest the possibility of enhancing the role of each lower limb in balance control.

The MAPP Room Memory Test: Examining Contextual Memory Using a Novel Computerized Test in Cognitively-Unimpaired Individuals with Autosomal Dominant Alzheimer's Disease.

Contextual memory, the ability to remember spatial or temporal features related to an event, is affected in Alzheimer's disease (AD). There is a shortfall of tests that measure contextual memory. To evaluate visuospatial contextual memory, we developed a computerized cognitive test, the MAPP Room Memory Test, which requires participants to identify in which visual scene target items were previously presented. We hypothesized that cognitively-unimpaired carriers of an autosomal dominant AD mutation (Presenilin-1 E280A, n=15) would perform more poorly on this test than non-carrier family members (n=31). Compared to non-carriers, the carriers had significantly worse delayed room recognition. The results indicate that the MAPP Room Memory Test may be sensitive to subtle cognitive changes associated with risk of AD. Future studies with larger samples using the MAPP Room Memory Test and biomarkers are needed to examine whether this test may also be sensitive to the earliest pathological changes in preclinical AD.

The Classic Stroop Asymmetry Works for Spoken as Well as Written Words

In modern versions of the Stroop task, participants view target words presented on a computer screen with pixels that are either congruent (e.g., “Red” in red pixels) or incongruent (e.g., “Red” in blue pixels) with the meaning of the target word. When participants report the target color, the difference in response time between congruent and incongruent targets (i.e., Stroop effect) is typically larger than when they report the target word (i.e., reverse Stroop effect); this is the classic Stroop asymmetry. For decades following Stroop’s experiments, the prevailing explanation for the asymmetry asserted that, for most people, word reading but not color naming has become automatic, so the target word should always become mentally accessible before the target color. Recent studies have argued instead that the advantage for the target word results not from automaticity but from a strong association between the identification task and verbal processing. To test the strength-of-association account, we developed Qualtrics scripts to deliver visual and auditory target words in Stroop and reverse Stroop tasks. The visually presented targets replicated the classic Stroop asymmetry, p &lt; .001, ηp2 = .27. The auditorily presented targets extended the classic Stroop asymmetry to the auditory domain, p &lt; .001, ηp2 = .18. These results support the argument that, for an identification task, the target’s semantic features enjoy an advantage over the target’s perceptual features regardless of the sensory modality to which the target is presented. In turn, this shows that task demands are more important than automaticity in mental processing.

CSS-Net: A Consistent Segment Selection Network for Audio-Visual Event Localization

Audio-visual event (AVE) localization aims to localize the temporal boundaries of events that contains visual and audio contents, to identify event categories in unconstrained videos. Existing work usually utilizes successive video segments for temporal modeling. However, ambient sounds or irrelevant visual targets in some segments often cause the problem of audio-visual semantics inconsistency, resulting in inaccurate global event modeling. To tackle this issue, we present a consistent segment selection network (CSS-Net) in this paper. First, we propose a novel bidirectional guided co-attention (BGCA) block, containing two distinct attention paths from audio to vision and from vision to audio, to focus on sound-related visual regions and event-related sound segments. Then, we propose a novel context-aware similarity measure (CASM) module to select semantic consistent visual and audio segments. A cross-correlation matrix is constructed using the correlation coefficients between the visual and audio feature pairs in all time steps. By extracting highly correlated segments and discarding low correlated segments, visual and audio features can learn global event semantics in videos. Finally, we propose a novel audio-visual contrastive loss to learn the similar semantics representation for visual and audio global features under the constraints of cosine and L2 similarities. Extensive experiments on public AVE dataset demonstrates the effectiveness of our proposed CSS-Net. The localization accuracies achieve the best performance of 80.5% and 76.8% in both fully- and weakly-supervised settings compared with other state-of-the-art methods.

How close laterally should auditory cue be toward visual target to facilitate visual search under workload condition?

How close laterally should auditory cue be toward visual target to facilitate visual search under workload condition?

Inhibiting myopia development by the digital chromatic filters

We had previously found that simulated chromatic defocus, imposed by spatially filtering the RGB channels of the computer screen, induces significant changes in choroidal thickness already after 45 min (Swiatczak and Schaeffel, 2022). In emmetropes, the “red in focus” filter, which blurs the image in the blue channel and simulates myopic chromatic defocus, induced thickening of the choroid and eye shortening, while the “blue in focus” filter, which blurs the image in the red channel and simulates hyperopic chromatic defocus, induced thinning of the choroid and eye elongation. Strikingly, eyes that were already myopic were not responsive to these filters, suggesting that (1) they may no longer detect longitudinal chromatic aberration (LCA), (2) the imposed signal was too weak to induce significant changes in choroidal thickness, or (3) the signal was detected by the retina, but it was not transmitted to the choroidal tissue. To gain a better understanding of the underlying mechanisms and their roles in emmetropization, we measured in emmetropic and myopic subjects (1) the long‐term effect of repetitive exposure to the “red in focus” filter over 12 days of treatment, followed by 2 days of recovery, (2) the accommodation responses to visual targets with simulated myopic and hyperopic LCA, and (3) visual acuity and contrast sensitivity in red and blue light.Our results showed that as previously found for choroidal changes, simulated hyperopic or myopic LCA also affected accommodation. The “blue in focus” filter induced more accommodation than the “red in focus” filter (difference in emmetropes: 0.13D, p &lt; 0.05). Strikingly, accommodation in myopic eyes was not responsive to simulated LCA. Moreover, visual acuity was severely reduced when subjects were looking through a short‐pass blue filter (cut‐off at 490 nm) compared to visual acuity in red light (long‐pass red filter, cut‐off at 610 nm) which was observed in both emmetropic and myopic subjects. Furthermore, emmetropes displayed higher contrast sensitivity in red than in blue light, but this difference was not found in myopes.Our findings confirm that there is a difference in retinal processing between emmetropes and myopes which includes lower sensitivity to LCA in myopes. Furthermore, we showed that these differences show up in both, changes in choroidal thickness as well as accommodation.

Exploration of Visual Communication Design Methods Combining Virtual Reality Technology

Abstract As digital media technologies evolve, immersive experiences have increasingly become a focal point in the field of visual communication design. This paper explores the practical implications of integrating visual communication design with cutting-edge virtual reality (VR) technology and proposes a novel method rooted in VR. Our first innovative approach involves a virtual space reconstruction technique that leverages the central eye concept to mitigate discrepancies in user experiences due to varying perceptions of content. Subsequently, we employ the Gabor wavelet transform method to extract key visual features pertinent to human-computer interaction. This allows us to develop a perceptual model of visual targets in human-computer interactions, thereby enhancing the accuracy and efficacy of visual communication by grounding it in sensory cognition and user experience. In practical application, the visual communication design method proposed in this paper has a high signal-to-noise ratio (avg=43.407) and a short computing time (avg=2.24), and its overall recognition rate in multi-sensory virtual experience is as high as 95.6%. The study validates the viability of the virtual reality-based visual communication design method proposed in this paper and encourages the innovative development of visual communication design.