| [1] |
HUANG H , HSIEH M H . Tactile emotional coding:the perceptual linking of vibrotactile stimuli with basic emotions[C]// Proceedings of 2019 IEEE 2nd International Conference on Knowledge Innovation and Invention (ICKII). Piscataway:IEEE Press, 2020: 134-137.
|
| [2] |
ANTONAKOGLOU K , XU X , STEINBACH E ,et al. Toward haptic communications over the 5G tactile Internet[J]. IEEE Communications Surveys ＆ Tutorials, 2018,20(4): 3034-3059.
|
| [3] |
XU X , CIZMECI B , SCHUWERK C ,et al. Haptic data reduction for time-delayed teleoperation using the time domain passivity approach[C]// Proceedings of 2015 IEEE World Haptics Conference (WHC). Piscataway:IEEE Press, 2015: 512-518.
|
| [4] |
STEINBACH E , STRESE M , EID M ,et al. Haptic codecs for the tactile Internet[J]. Proceedings of the IEEE, 2019,107(2): 447-470.
|
| [5] |
刘传宏, 郭彩丽, 杨洋 ,等. 面向智能任务的语义通信:理论、技术和挑战[J]. 通信学报, 2022,43(6): 41-57.
|
|
LIU C H , GUO C L , YANG Y ,et al. Intelligent task-oriented semantic communications:theory,technology and challenges[J]. Journal on Communications, 2022,43(6): 41-57.
|
| [6] |
DUAN L Y , LIU J Y , YANG W H ,et al. Video coding for machines:a paradigm of collaborative compression and intelligent analytics[J]. IEEE Transactions on Image Processing:a Publication of the IEEE Signal Processing Society, 2020,29: 8680-8695.
|
| [7] |
HU Y Y , YANG S , YANG W H ,et al. Towards coding for human and machine vision:a scalable image coding approach[C]// Proceedings of 2020 IEEE International Conference on Multimedia and Expo (ICME). Piscataway:IEEE Press, 2020: 1-6.
|
| [8] |
LIU K , LIU D , LI L ,et al. Semantics-to-signal scalable image compression with learned revertible representations[J]. International Journal of Computer Vision, 2021,129(9): 2605-2621.
|
| [9] |
CHOI H , BAJI? I V . Scalable image coding for humans and machines[J]. IEEE Transactions on Image Processing, 2022,31: 2739-2754.
|
| [10] |
HUANG Z M , JIA C M , WANG S S ,et al. HMFVC:a human-machine friendly video compression scheme[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2022,doi:10.1109/TCSVT.2022.3207596.
|
| [11] |
XIA S F , LIANG K , YANG W H ,et al. An emerging coding paradigm vcm:a scalable coding approach beyond feature and signal[C]// Proceedings of 2020 IEEE International Conference on Multimedia and Expo (ICME). Piscataway:IEEE Press, 2020: 1-6.
|
| [12] |
LIU X , DOHLER M . A data-driven approach to vibrotactile data compression[C]// Proceedings of 2019 IEEE International Workshop on Signal Processing Systems (SiPS). Piscataway:IEEE Press, 2020: 341-346.
|
| [13] |
CHAUDHARI R , SCHUWERK C , DANAEI M ,et al. Perceptual and bitrate-scalable coding of haptic surface texture signals[J]. IEEE Journal of Selected Topics in Signal Processing, 2015,9(3): 462-473.
|
| [14] |
OKAMOTO S , YAMADA Y . Perceptual properties of vibrotactile material texture:effects of amplitude changes and stimuli beneath detection thresholds[C]// Proceedings of 2010 IEEE/SICE International Symposium on System Integration. Piscataway:IEEE Press, 2011: 384-389.
|
| [15] |
HASSEN R , GüLECYüZ B , STEINBACH E . PVC-SLP:perceptual vibrotactile-signal compression based-on sparse linear prediction[J]. IEEE Transactions on Multimedia, 2021,23: 4455-4468.
|
| [16] |
NOLL A , NOCKENBERG L , GüLECYüZ B ,et al. VC-PWQ:vibrotactile signal compression based on perceptual wavelet quantization[C]// Proceedings of 2021 IEEE World Haptics Conference (WHC). Piscataway:IEEE Press, 2021: 427-432.
|
| [17] |
KIRSCH J , NOLL A , STRESE M ,et al. A low-cost acquisition,display,and evaluation setup for tactile codec development[C]// Proceedings of 2018 IEEE International Symposium on Haptic,Audio and Visual Environments and Games (HAVE). Piscataway:IEEE Press, 2018: 1-6.
|
| [18] |
LANDIN N , ROMANO J M , MCMAHAN W ,et al. Dimensional reduction of high-frequency accelerations for haptic rendering[C]// International Conference on Human Haptic Sensing and Touch Enabled Computer Applications. Berlin:Springer, 2010: 79-86.
|
| [19] |
李昂, 陈建新, 魏昕 ,等. 面向6G的跨模态信号重建技术[J]. 通信学报, 2022,43(6): 28-40.
|
|
LI ANG , CHEN J X , WEI X ,et al. 6G-oriented cross-modal signal reconstruction technology[J]. Journal on Communications, 2022,43(6): 28-40.
|
| [20] |
SAJEEVAN N , ARATHI N M , ARAVIND S R ,et al. Surface material classification using acceleration signal[C]// Proceedings of International Conference on Communication and Computational Technologies. Berlin:Springer, 2021: 49-58.
|
| [21] |
ZHENG H T , FANG L , JI M Q ,et al. Deep learning for surface material classification using haptic and visual information[J]. IEEE Transactions on Multimedia, 2016,18(12): 2407-2416.
|
| [22] |
XIAO J Q , ZHOU Z Y . Research progress of RNN language model[C]// Proceedings of 2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA). Piscataway:IEEE Press, 2020: 1285-1288.
|
| [23] |
WANG Z G , YAN W Z , OATES T . Time series classification from scratch with deep neural networks:a strong baseline[C]// Proceedings of 2017 International Joint Conference on Neural Networks (IJCNN). Piscataway:IEEE Press, 2017: 1578-1585.
|
| [24] |
HASSEN R , STEINBACH E . Subjective evaluation of the spectral temporal SIMilarity (ST-SIM) measure for vibrotactile quality assessment[J]. IEEE Transactions on Haptics, 2020,13(1): 25-31.
|
| [25] |
JI M Q , FANG L , ZHENG H T ,et al. Preprocessing-free surface material classification using convolutional neural networks pretrained by sparse autoencoder[C]// Proceedings of 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP). Piscataway:IEEE Press, 2015: 1-6.
|
