Exploring the application of hybrid evolutionary computation techniques to physical activity recognition

A Baldominos, C del Barrio, Y Saez - … of the 2016 on Genetic and …, 2016 - dl.acm.org
This paper focuses on the problem of physical activity recognition, ie, the development of a
system which is able to learn patterns from data in order to be able to detect which physical …

Predicting the best sensor fusion method for recognizing human activity using a machine learning approach based on a statistical signature meta-data set and its …

AA Aguileta Güemez - repositorio.tec.mx
Multi-sensor fusion refers to methods used to combine information from multiple (in some
cases, different) sensors with the aim of making one sensor compensate for the weaknesses …

[PDF][PDF] HAREKETLİ NESNELERDE ALGILANMASI GÜÇ OLAN DEĞİŞİMLERİN VİDEO BÜYÜTME YÖNTEMİYLE TESPİTİ VE DERİN ÖĞRENME İLE ANALİZİ

AA YILMAZ - dspace.ankara.edu.tr
Hareketli objelerin tespiti ve analizi işlemleri, son yıllarda hem akademik hem de ticari
dünyadaki potansiyeli nedeniyle görüntü işleme, bilgisayarla görme ve yapay zeka alanında …

Occupant behaviour pattern modeling and detection in buildings based on environmental sensing

JL Gomez Ortega - 2017 - e-space.mmu.ac.uk
Occupant presence and behaviour have a signi cant impact on building energy
performance. An occupant present in a building generates pollutants like CO2, odour, heat …

[引用][C] Sensor networks and data analytics for wellness monitoring

M Eldib - 2020 - biblio.ugent.be
Sensor networks and data analytics for wellness monitoring Universiteit Gent Add
publications and datasets Lists Sign in Academic Bibliography Search 200 years of …