Multi-sensor fusion for activity recognition—A survey

AA Aguileta, RF Brena, O Mayora, E Molino-Minero-Re… - Sensors, 2019 - mdpi.com
In Ambient Intelligence (AmI), the activity a user is engaged in is an essential part of the
context, so its recognition is of paramount importance for applications in areas like sports …

When AI meets store layout design: a review

K Nguyen, M Le, B Martin, I Cil, C Fookes - Artificial Intelligence Review, 2022 - Springer
An efficient store layout presents merchandise to attract customer attention and encourages
customers to walk down more aisles which exposes them to more merchandise, which has …

Multi-view stacking for activity recognition with sound and accelerometer data

E Garcia-Ceja, CE Galván-Tejada, R Brena - Information Fusion, 2018 - Elsevier
Abstract Many Ambient Intelligence (AmI) systems rely on automatic human activity
recognition for getting crucial context information, so that they can provide personalized …

Robust and affordable retail customer profiling by vision and radio beacon sensor fusion

M Sturari, D Liciotti, R Pierdicca, E Frontoni… - Pattern Recognition …, 2016 - Elsevier
The development of reliable and precise indoor localization systems would considerably
improve the ability to investigate shopper movements and behavior inside retail …

[HTML][HTML] Future advances in UK marine fisheries policy: Integrated nexus management, technological advance, and shifting public opinion

PS Kemp, G Subbiah, R Barnes, K Boerder… - Marine Policy, 2023 - Elsevier
Abstract Having left the European Union, the UK Fisheries Act (hereafter referred to as the
Act) provides a framework that may advance sustainable marine resource management …

Robotic retail surveying by deep learning visual and textual data

M Paolanti, L Romeo, M Martini, A Mancini… - Robotics and …, 2019 - Elsevier
Autonomous systems for monitoring and surveying are increasingly used in retail stores,
since they improve the overall performance of the store and reduce the manpower cost …

Mobile robot for retail surveying and inventory using visual and textual analysis of monocular pictures based on deep learning

M Paolanti, M Sturari, A Mancini… - … on mobile robots …, 2017 - ieeexplore.ieee.org
This paper describes a novel system for automating data collection and surveying in a retail
store using mobile robots. The manpower cost for surveying and monitoring the shelves in …

Shopper analytics: A customer activity recognition system using a distributed RGB-D camera network

D Liciotti, M Contigiani, E Frontoni, A Mancini… - Video Analytics for …, 2014 - Springer
The aim of this paper is to present an integrated system consisted of a RGB-D camera and a
software able to monitor shoppers in intelligent retail environments. We propose an …

Shelf space re-allocation for out of stock reduction

E Frontoni, F Marinelli, R Rosetti, P Zingaretti - Computers & Industrial …, 2017 - Elsevier
A planogram is a detailed visual map that establishes product positions over a shelf in a
retail store. It is designed to support an innovative merchandising approach, to increase …

Low cost embedded system for increasing retail environment intelligence

R Pierdicca, D Liciotti, M Contigiani… - … on Multimedia & …, 2015 - ieeexplore.ieee.org
The success of pervasive smart environments lies in the capacity to involve visitors to
interact with them. It is essential for retail stores. In this paper we describe the setting-up of a …