Sentence examples for perceptual technologies from inspiring English sources

In the past years, several projects addressed the SLOC task as, for instance, the CHIL EC project [2] whose main goal was to develop and integrate perceptual technologies as person tracking, event detection, distant-talking speech recognition, person identification, and so forth.

This is why Mediachain uses perceptual recognition technology - similar to Shazam or Google Image search - to identify media based on how it looks or sounds; automatically resolving any instance to information about it in Mediachain.

Mediachain uses perceptual recognition technology - similar to Shazam or Google Image search - to identify media based on how it looks or sounds; automatically resolving any instance to information about it in Mediachain.

In particular, we are interested in advanced technologies for perceptual sensitivity analysis of complex multivariate spatial parameters [38, 39] as well as promising computing schemes for optimal 3D audio reproduction in sophisticated applications in practice [40 42].

Furthermore, as a major confirmation of the potential of these technologies in perceptual quality assessment, a CI-based framework has been adopted in multiple methods for audio quality assessment, including the ITU standard, PEAQ [25].

Matthew Brand: Research scientist and Fellow at Mitsubishi Electric Research Laboratories and founder of Zintaglio Arts, a studio where perceptual psychology and novel fabrication technologies are leveraged into new art forms.

Such a proposition not only challenges our theoretical understanding of event perception, but also has substantive practical implications for fairness in sports by strongly advocating the increased use of technology instead of perceptual training programs for match officials.

Computer-aided detection (CAD) was introduced in breast cancer screening as a technology to avoid perceptual oversights and its effectiveness has been demonstrated in many studies [ 1– 3].

However, there are potential performance issues in MIS for surgeons due to perceptual processing demands associated with supporting technologies.

As such, over the last 10 years, the interest has grown within the VQA community towards using ML technologies to model the perceptual mechanisms underlying the HVS.

The technology overwhelms the human perceptual system so that it has trouble differentiating immersive virtual experiences from real ones.