A Perceptual Quality Metric for Haptic Signals

Sakr, Nizar; Georganas, N.D.; Zhao, Jiying

doi:10.1109/have.2007.4371581

Cited by 26 publications

(12 citation statements)

References 9 publications

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“…As an increase in the number of frames per second results in a tremendous size increment, effective interpolation of force information with consideration of human perception is required. For example, Weber's law, which states that the ratio of the increment threshold to the initial stimulus is constant, can be considered, as it was utilized in previous research [21,22]. The perceptual linear relationship can be utilized for the definition of a haptic map that must be defined temporally.…”

Section: Extension To Moving Picturementioning

confidence: 99%

Haptic annotation for an interactive image

Kim¹,

Kyung

Kwon³

2011

Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication

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This paper proposes a method for constructing a 3D model with mechanical properties by embedding multiple haptic maps into an ordinary 2D image. The haptic information described in this paper consists of the depth, stiffness, and viscous damping distribution, each of which takes the form of a 2D grayscale image. After the process of map compression, each instance of haptic information is embedded into a single 2D image via an information hiding method. The proposed 2D image provides multimodal haptic and visual information pertaining to the objects; therefore, a user can experience different haptic sensations according to the extracted haptic information at the point of contact. As the proposed media also offers a method to modify the meshes during interaction, media audiences can participate in the process of tangible media creation. For the selective assignment of mechanical properties, the use of an object-masking map that contains information related to individual object IDs is proposed in the application section. As the proposed image remains compatible with an ordinary 2D image, it can be circulated among existing platforms while preserving its basic functionality as an image. Thus, it is expected that the proposed media can change the manner in which visiohaptic media is consumed by providing realistic haptic information to general users in contrast to other proposals.

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Section: Extension To Moving Picturementioning

confidence: 99%

Haptic annotation for an interactive image

Kim¹,

Kyung

Kwon³

2011

Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication

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“…The first work in this research line was introduced in [154]. In this work a Haptic Perceptually Weighted Peak Signal-To-Noise Ratio (HPW-PSNR) was derived to account for perceptual significance of haptic signal degradation using the Just Noticeable Difference (JND).…”

Section: Signal-level Quality Predictionmentioning

confidence: 99%

“…Each sample point represents one force-feedback signal. (a) PSNR, (b) HPW-PSNR[154], (c) P-MSE[155], and (d) HSSIM[156].…”

mentioning

confidence: 99%

Haptic Codecs for the Tactile Internet

et al. 2019

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“…This index, however, was particularly designed for the codec in [16], preventing it to be used in other applications. The authors of [10] designed an objective metric for haptic signals based on Weber's law; however, they considered only force, position and velocity feedback, leaving vibrotactile feedback out. In summary, there are no objective metrics dedicated to vibrotactile signals to date.…”

Section: Introductionmentioning

confidence: 99%

Vibrotactile Quality Assessment: Hybrid Metric Design Based on SNR and SSIM

Liu

Dohler

Deng

2020

IEEE Trans. Multimedia

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The emerging mulsemedia (MULtiple SEnsorial MEDIA) introduces new sensorial data (haptic, olfaction, gustation, etc.), significantly augmenting the conventional audiovisual communication. This can be used in many areas, such as immersive entertainment and innovative education. Previous research has been dedicated to evaluating the impact of other sensorial data on conventional multimedia; however, standalone quality evaluation of new sensorial data, especially vibrotactile data (a type of haptic data), has not been covered. To the best of our knowledge, this paper is the first to empirically demonstrate that the common statistical metrics in audio and visual domains, i.e. signal-to-noise ratio (SNR) and Structural SIMilarity (SSIM), are highly correlated with human vibrotactile perception as well. To be specific, we propose a testing protocol for vibrotactile quality evaluation and conduct subjective experiments. The results suggest that SNR and SSIM are applicable to vibrotactile quality assessment. We also consider a practical scenario where the quality of vibrotactile data varies with time. Based on the validation of SNR and SSIM in the first part, we present an objective metric as a hybrid composition of SNR and SSIM. Instead of assessing the quality of data using an overall score, the hybrid metric evaluates the quality in a time-varying manner. Subjective experiments are conducted and the results demonstrate that the correlation coefficient can be significantly increased using the hybrid metric.

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A Perceptual Quality Metric for Haptic Signals

Cited by 26 publications

References 9 publications

Haptic annotation for an interactive image

Haptic annotation for an interactive image

Haptic Codecs for the Tactile Internet

Vibrotactile Quality Assessment: Hybrid Metric Design Based on SNR and SSIM

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