Buscar
Mostrando ítems 1-8 de 8
Artículo
Benchmarking real-time vehicle data streaming models for a smart city
(Elsevier, 2017)
The information systems of smart cities offer project developers, institutions, industry and experts the possibility to handle massive incoming data from diverse information sources in order to produce new information ...
Artículo
A Survey on Energy Expenditure Estimation Using Wearable Devices
(ACM, 2020-09)
Human Energy Expenditure (EE) is a valuable tool for measuring physical activity and its impact on our body in an objective way. To accurately measure the EE, there are methods such as doubly labeled water and direct and ...
Artículo
Discrete classification technique applied to TV advertisements liking recognition system based on low‑cost EEG headsets
(BioMed Central, 2016)
Background: In this paper a new approach is applied to the area of marketing research. The aim of this paper is to recognize how brain activity responds during the visualization of short video advertisements using discrete ...
Artículo
Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods
(Elsevier, 2018-03-01)
This paper presents a Deep Learning approach for traffic sign recognition systems. Several classification experiments are conducted over publicly available traffic sign datasets from Germany and Belgium using a Deep Neural ...
Artículo
Real-time gun detection in CCTV: An open problem
(Elsevier, 2020-12)
Object detectors have improved in recent years, obtaining better results and faster inference time. However, small object detection is still a problem that has not yet a definitive solution. The autonomous weapons detection ...
Artículo
Exploiting synergies of mobile mapping sensors and deep learning for traffic sign recognition systems
(Elsevier, 2017)
This paper presents an efficient two-stage traffic sign recognition system. First, 3D point cloud data is acquired by a LINX Mobile Mapper system and processed to automatically detect traffic signs based on their ...
Artículo
Design of a Speed Assistant to Minimize the Driver Stress
(Ediciones Universidad de Salamanca, 2017)
Stress is one of the most important factors in traffic accidents. When the driver is in this mental state, their skills and abilities are reduced. In this paper, we propose an algorithm to estimate the optimal speed to ...
Artículo
Energy-Efficient Indoor Localization WiFi-Fingerprint System: An Experimental Study
(IEEE Computer Society, 2019)
In order to apply indoor localization systems in real environments it is necessary to provide an accurate location without implying a high impact on the user's normal behaviour. To achieve this goal, in this paper, a ...