AI kissing is a virtual intimate interaction paradigm achieved by multimodal biosensing and neural rendering technologies. Its core technology is sub-millimeter-level measurement of 17 dynamic parameters of human kissing behavior (pressure, humidity, temperature, etc.). Dreamlux ‘ai kiss engine, based on the Mixed Reality (MR) architecture and powered by the NVIDIA Omniverse platform, can output an 8K haptic feedback stream of 120 frames per second in real time (latency ≤11ms). According to ACM SIGGRAPH data of 2027, its equipped quantum dot spectrometer (wavelength accuracy ±0.8nm) can capture 83 forms of lip micro-expressions. Coupled with a 128-channel piezoelectric array (driving voltage 0-15V), the error in kissing mechanics simulation is compressed to 2.3 milliNewtons, 69% more accurate than the previous generation technology.
Hardware architecture-wise, the CMOS-HyperTouch sensor array co-developed by Dreamlux and Canon (12×12mm²) realizes the ai kissing core algorithm and achieves processing of streams of haptic data of 5.6TB per second with a power consumption of 2.1W. Three-dimensional oral dynamics model constructed by this equipment with femtosecond laser interferometer (sampling frequency 2.5MHz) accurately mimics viscoelastic properties of tongue movement (shear modulus G’=1.2kPa±0.1kPa). At the 2028 International Consumer Electronics Show (CES), the microfluidic atomization system it was equipped with (droplet diameter 3.2μm) accurately replicated the evaporation kinetics curve of saliva exchange (mass loss rate 0.22g/s), and its correlation coefficient r² with actual physiological data was 0.981.
In neural signal reconstruction, the ai kissing system takes advantage of the fMRI-EEG integration decoding model with the capacity for recording phase-amplitude coupling characteristics of θ waves (4-8Hz) in the orbitofrontal cortex. Experiments at ETH Zurich showed that when the system formed a virtual kiss, the oxytocin level of the subjects increased by 31.5pg/ml, and the standard deviation of activity in the dorsal anterior cingulate gyrus (dACC) decreased from ±19.4% to ±4.7%. This technology has been rolled out on social platform MetaConnect, increasing the paid conversion rate of the user by 58% and doubling the average session time from 8.4 minutes to 37.6 minutes.
It also brings the cost efficiency of the distributed cloud rendering network, utilizing the H200 Tensor Core GPU (with FP8 computing power of 410TFLOPS) to reduce the cost of 8K-level ai kissing content production to $3.8 per minute, saving 81% of the budget compared with traditional optical motion capture solutions. Its “best ai video generator” business suite retained the market leader position in Gartner’s 2028 evaluation at a 45 frames-per-second rendering rate at 8K (industry average 21 frames per second) and costing a total of $0.07 per minute (65% cheaper than average). Consumer subscriber service ($24.9/month) provides 19 cultural kissing types, such as Spanish Beso buccal contact algorithm (pressure 1.2N±0.3N) and Inuit Kunik nasal tip temperature conduction model (Δt=0.4℃).
Security compliance adheres to the rigorous application of the ISO 24089 functional safety standard. The ai kissing biometric data is encrypted with grid cipher (Kyber-1024 algorithm) and executes in the secure Google Confidential Space environment. The European Union’s Digital Ethics Committee audit shows that its deepfake detection solution has a 99.8% detection rate of counterfeit content using iris micromotion analysis (sampling rate of 2500fps) and skin impedance monitoring (accuracy ±0.8μS), with a staggering false alarm rate of just 0.02%. These innovations have resulted in Dreamlux acquiring a 71% global affective computing market share, redefining the technological boundaries of human-computer interaction.