Abstract

This paper discuss the problem of personal adjustment of smart room devices and forming of a user profile based on processing of multichannel audio and video streams, which register of the current situation and meeting participants behavior in the meeting room. Estimation of preference of device usage, user interface, participant role and their activity during meeting allows us to automate the processes of smart room preparation as well as manage multimedia presentation and record devices during events. 212 records were made during several meetings in the smart room with the help of the developed system of audio and video speaker localization. The accumulated experimental data allowed us to estimate the places in the room, from which the participants asked questions most of the time. The accuracy of camera pointing on speaker in the presentation zone as well as in the rows of sits estimated by participant’s face size and its position in frame during whole recording equals 90% approximately.

Highlights

  • This paper discuss the problem of personal adjustment of smart room devices and forming of a user profile based on processing of multichannel audio and video streams, which register of the current situation and meeting participants behavior in the meeting room

  • Estimation of preference of device usage, user interface, participant role and their activity during meeting allows us to automate the processes of smart room preparation as well as manage multimedia presentation and record devices during events. 212 records were made during several meetings in the smart room with the help of the developed system of audio and video speaker localization

  • The accumulated experimental data allowed us to estimate the places in the room, from which the participants asked questions most of the time

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Summary

Introduction

Формирование профиля пользователя на основе аудиовизуального анализа ситуации в интеллектуальном зале совещаний. Рассматривается проблема персонифицированной настройки оборудования интеллектуального зала и формирования профиля пользователя на основе многоканальной обработки аудио- и видеопотоков, регистрирующих текущую ситуацию и поведение участников мероприятия в зале совещаний. Анализ истории поведения участников мероприятий служит для определения их предпочтений, создания модели профиля участника мероприятия (ПУМ).

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