H2020Индивидуална стипендия2021–2025

V.I.P. · MassiVe MIMO Radio Channel- and Learning-based Indoor Passive Localization and Posture Identification for Multiple Humans

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2021-11-01 → 2025-10-30
Финансиране от ЕС: 166 320 €
Участници: 1
Схема: MSCA-IF

Линиите свързват координатора с партньорите.

Накратко на български

Радиосистеми с множество антени се използват за разпознаване на позицията и дишането на хора без нужда от носими устройства. Това помага за непрекъснатото дистанционно следене на здравето на деца, възрастни хора и хора с увреждания.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

MassiVe MIMO Radio Channel- and Learning-based Indoor Passive Localization and Posture Identification for Multiple Humans

This project addresses the contact-free human sensing using advanced multi-antenna radio systems and advanced signal/data processing techniques. Going beyond the wearable solutions where the persons need to carry or wear devices on body, contact-free solutions have environment-embedded devices and add no stress to the persons of interest. Radio frequency contact-free devices, including radars, can operate regardless of the lighting conditions. As civilian radars become more accessible, it is envisioned that radar sensing will be integrated into communication infrastructure for 6G and next generation radio networks. V.I.P. project utilizes multi-antenna radio systems with mainly communication (and also radar) waveforms to perform human sensing. The sensing tasks include detection, localization and tracking, pose recognition and breathing estimation of one or more persons. The overall objectives is to optimize the multi-antenna system topology/configuration and devise algorithms for accurate contact-free (multi-)human sensing. The results can be utilized in remote health monitoring applications and provide proactive and continuous monitoring; this is socially important because our society faces tremendous challenges in securing the future wellness of a large segment of its population requiring special attentions, e.g., the elderly, the physically impaired and the children. Relevant results are expected to have a great economic impact on the EU's future advancement.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

The aim of the proposed V.I.P. project is to achieve passive localization and posture identification of multiple humans in indoor environment for assisted-living functionalities. We propose to use the temporal-spatial-delay domain radio channel properties with dedicated design of massive Multiple-Input Multiple-Output (MIMO) topology and configuration for specific physical environment, and use the neural-networks-based learning algorithm recognizing the interactions between the human form-factors (body type/shape, posture, motion) and the aforementioned indoor radio channel. Both simulation and measurement platforms will be built to estimate and measure the radio propagation resulting from the reconfigurable physical environment, multiple-antenna systems, and human form-factors.The proposed research is multidisciplinary, connecting networked systems, electromagnetism, smart building, human factors, and data science. It proactively combines MIMO radio networked system with smart building, targeting at identifying MULTIPLE humans with the help of neural networks. It is proposed by a female researcher with rich international experience, and is supervised by a female professor with top track record. The proposed research includes gender-dependent modelling and parameterization on the propagation mechanism of human-radio interaction, potentially using the double-layer reflection and the uniform theory of diffraction. The body postures are simplified into geometries with homogeneous dielectric, e.g. a standing/laying human as ellipsoid, sitting on the ground with legs crossed as triangle.Upon the completion of the research, training and networking of V.I.P., the researcher will profit from the first-hand experience on designing and developing the networked system for specific use case, developing neural-network-based pattern recognition methodology, as well as growing towards professional maturity from proposing, coordinating, finance managing, educating to impacting.

Оригинален текст от CORDIS (на английски).

Участници

KATHOLIEKE UNIVERSITEIT LEUVEN · LeuvenКоординаторБелгия