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Sergio Márquez-Sánchez
Air Institute, IoT Digital Innovation Hub (Spain), 37188 Salamanca, Spain

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Journal article
Published: 07 July 2021 in Sensors
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It is estimated that we spend one-third of our lives at work. It is therefore vital to adapt traditional equipment and systems used in the working environment to the new technological paradigm so that the industry is connected and, at the same time, workers are as safe and protected as possible. Thanks to Smart Personal Protective Equipment (PPE) and wearable technologies, information about the workers and their environment can be extracted to reduce the rate of accidents and occupational illness, leading to a significant improvement. This article proposes an architecture that employs three pieces of PPE: a helmet, a bracelet and a belt, which process the collected information using artificial intelligence (AI) techniques through edge computing. The proposed system guarantees the workers’ safety and integrity through the early prediction and notification of anomalies detected in their environment. Models such as convolutional neural networks, long short-term memory, Gaussian Models were joined by interpreting the information with a graph, where different heuristics were used to weight the outputs as a whole, where finally a support vector machine weighted the votes of the models with an area under the curve of 0.81.

ACS Style

Sergio Márquez-Sánchez; Israel Campero-Jurado; Jorge Herrera-Santos; Sara Rodríguez; Juan Corchado. Intelligent Platform Based on Smart PPE for Safety in Workplaces. Sensors 2021, 21, 4652 .

AMA Style

Sergio Márquez-Sánchez, Israel Campero-Jurado, Jorge Herrera-Santos, Sara Rodríguez, Juan Corchado. Intelligent Platform Based on Smart PPE for Safety in Workplaces. Sensors. 2021; 21 (14):4652.

Chicago/Turabian Style

Sergio Márquez-Sánchez; Israel Campero-Jurado; Jorge Herrera-Santos; Sara Rodríguez; Juan Corchado. 2021. "Intelligent Platform Based on Smart PPE for Safety in Workplaces." Sensors 21, no. 14: 4652.

Journal article
Published: 06 July 2021 in Smart Cities
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This article introduces the concern that exists in the wider economic world concerning the developments carried out in Smart Cities. The various studies that have been developed capture the economic approach by focusing on specific economic development theories. This article initially provides a theoretical response to the need for a joint approach to the different economic theories relating to Smart Cities, placing the bases of their development in the circular economy. Subsequently, the paper presents a device-based proposal to validate the sustainability principles indicated in the Smart Economy, focusing exclusively on the areas of health and mobility. As a whole, the work concludes with the need to incorporate sustainability criteria into economic ambition so that technological developments have a place in future Smart Cities.

ACS Style

Javier Parra-Domínguez; Jorge Herrera Santos; Sergio Márquez-Sánchez; Alfonso González-Briones; Fernando De la Prieta. Technological Developments of Mobility in Smart Cities. An Economic Approach. Smart Cities 2021, 4, 971 -978.

AMA Style

Javier Parra-Domínguez, Jorge Herrera Santos, Sergio Márquez-Sánchez, Alfonso González-Briones, Fernando De la Prieta. Technological Developments of Mobility in Smart Cities. An Economic Approach. Smart Cities. 2021; 4 (3):971-978.

Chicago/Turabian Style

Javier Parra-Domínguez; Jorge Herrera Santos; Sergio Márquez-Sánchez; Alfonso González-Briones; Fernando De la Prieta. 2021. "Technological Developments of Mobility in Smart Cities. An Economic Approach." Smart Cities 4, no. 3: 971-978.

Journal article
Published: 12 May 2021 in Sensors
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Wearable technologies are becoming a profitable means of monitoring a person’s health state, such as heart rate and physical activity. The use of the smartwatch is becoming consolidated, not only as a novelty but also as a very useful tool for daily use. In addition, other devices, such as helmets or belts, are beneficial for monitoring workers and the early detection of any anomaly. They can provide valuable information, especially in work environments, where they help reduce the rate of accidents and occupational diseases, which makes them powerful Personal Protective Equipment (PPE). The constant monitoring of the worker’s health can be done in real-time, through temperature, falls, noise, impacts, or heart rate meters, activating an audible and vibrating alarm when an anomaly is detected. The gathered information is transmitted to a server in charge of collecting and processing it. In the first place, this paper provides an exhaustive review of the state of the art on works related to electronics for human activity behavior. After that, a smart multisensory bracelet, combined with other devices, developed a control platform that can improve operators’ security in the working environment. Artificial Intelligence and the Internet of Things (AIoT) bring together the information to improve safety on construction sites, power stations, power lines, etc. Real-time and historic data is used to monitor operators’ health and a hybrid system between Gaussian Mixture Model and Human Activity Classification. That is, our contribution is also founded on the use of two machine learning models, one based on unsupervised learning and the other one supervised. Where the GMM gave us a performance of 80%, 85%, 70%, and 80% for the 4 classes classified in real time, the LSTM obtained a result under the confusion matrix of 0.769, 0.892, and 0.921 for the carrying-displacing, falls, and walking-standing activities, respectively. This information was sent in real time through the platform that has been used to analyze and process the data in an alarm system.

ACS Style

Sergio Márquez-Sánchez; Israel Campero-Jurado; Daniel Robles-Camarillo; Sara Rodríguez; Juan Corchado-Rodríguez. BeSafe B2.0 Smart Multisensory Platform for Safety in Workplaces. Sensors 2021, 21, 3372 .

AMA Style

Sergio Márquez-Sánchez, Israel Campero-Jurado, Daniel Robles-Camarillo, Sara Rodríguez, Juan Corchado-Rodríguez. BeSafe B2.0 Smart Multisensory Platform for Safety in Workplaces. Sensors. 2021; 21 (10):3372.

Chicago/Turabian Style

Sergio Márquez-Sánchez; Israel Campero-Jurado; Daniel Robles-Camarillo; Sara Rodríguez; Juan Corchado-Rodríguez. 2021. "BeSafe B2.0 Smart Multisensory Platform for Safety in Workplaces." Sensors 21, no. 10: 3372.

Journal article
Published: 01 November 2020 in Sensors
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Information and communication technologies (ICTs) have contributed to advances in Occupational Health and Safety, improving the security of workers. The use of Personal Protective Equipment (PPE) based on ICTs reduces the risk of accidents in the workplace, thanks to the capacity of the equipment to make decisions on the basis of environmental factors. Paradigms such as the Industrial Internet of Things (IIoT) and Artificial Intelligence (AI) make it possible to generate PPE models feasibly and create devices with more advanced characteristics such as monitoring, sensing the environment and risk detection between others. The working environment is monitored continuously by these models and they notify the employees and their supervisors of any anomalies and threats. This paper presents a smart helmet prototype that monitors the conditions in the workers’ environment and performs a near real-time evaluation of risks. The data collected by sensors is sent to an AI-driven platform for analysis. The training dataset consisted of 11,755 samples and 12 different scenarios. As part of this research, a comparative study of the state-of-the-art models of supervised learning is carried out. Moreover, the use of a Deep Convolutional Neural Network (ConvNet/CNN) is proposed for the detection of possible occupational risks. The data are processed to make them suitable for the CNN and the results are compared against a Static Neural Network (NN), Naive Bayes Classifier (NB) and Support Vector Machine (SVM), where the CNN had an accuracy of 92.05% in cross-validation.

ACS Style

Israel Campero-Jurado; Sergio Márquez-Sánchez; Juan Quintanar-Gómez; Sara Rodríguez; Juan Corchado. Smart Helmet 5.0 for Industrial Internet of Things Using Artificial Intelligence. Sensors 2020, 20, 6241 .

AMA Style

Israel Campero-Jurado, Sergio Márquez-Sánchez, Juan Quintanar-Gómez, Sara Rodríguez, Juan Corchado. Smart Helmet 5.0 for Industrial Internet of Things Using Artificial Intelligence. Sensors. 2020; 20 (21):6241.

Chicago/Turabian Style

Israel Campero-Jurado; Sergio Márquez-Sánchez; Juan Quintanar-Gómez; Sara Rodríguez; Juan Corchado. 2020. "Smart Helmet 5.0 for Industrial Internet of Things Using Artificial Intelligence." Sensors 20, no. 21: 6241.

Conference paper
Published: 10 September 2020 in Advances in Intelligent Systems and Computing
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This paper focuses on implementing face detection, face recognition and face emotion recognition through NVIDIA’s state-of-the-art Jetson Nano. Face detection is implemented using OpenCV’s deep learning-based DNN face detector, supported by a ResNet architecture, for achieving better accuracy than the previously developed models. The result computed by framework libraries of OpenCV, with the support of the above-mentioned hardware, displayed reliable accuracy even with the change in lighting and angle. For face recognition, the approach of deep metric learning using OpenCV, supported by a ResNet-34 architecture, is used. Face emotion recognition is achieved by developing a system in which the areas of eyes and mouth are used to convey the analysis of the information into a merged new image, classifying the image into displaying any of the seven basic facial emotions. A powerful and a low-power platform, Jetson Nano carried out intensive computations of algorithms easily, contributing in high video processing frame.

ACS Style

Vishwani Sati; Sergio Márquez Sánchez; Niloufar Shoeibi; Ashish Arora; Juan M. Corchado. Face Detection and Recognition, Face Emotion Recognition Through NVIDIA Jetson Nano. Advances in Intelligent Systems and Computing 2020, 177 -185.

AMA Style

Vishwani Sati, Sergio Márquez Sánchez, Niloufar Shoeibi, Ashish Arora, Juan M. Corchado. Face Detection and Recognition, Face Emotion Recognition Through NVIDIA Jetson Nano. Advances in Intelligent Systems and Computing. 2020; ():177-185.

Chicago/Turabian Style

Vishwani Sati; Sergio Márquez Sánchez; Niloufar Shoeibi; Ashish Arora; Juan M. Corchado. 2020. "Face Detection and Recognition, Face Emotion Recognition Through NVIDIA Jetson Nano." Advances in Intelligent Systems and Computing , no. : 177-185.

Conference paper
Published: 06 July 2020 in Communications in Computer and Information Science
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The industrial sector is the key driver of the society’s economic and social development. However, it is necessary for workers in this sector to have knowledge of and comply with the safety standards of the industry, designed to ensure their safety at work. Companies take different measures to reduce the rate of accidents; they use Internet of Things and Industry 4.0 technologies to detect and give notifications of anomalies detected in the work environment. This article proposes the design of an architecture using Personal Protective Equipment (PPE), where the collected information is processed by Artificial Intelligence (AI) techniques through Edge Computing and the implementation of Multi Agent System and ROS technology. The proposed system is to be embedded in the PPE worn by workers, guaranteeing their safety and integrity through the prediction and notification of anomalies detected in their environment with no need for internet give that in some cases there is internet connection is not possible.

ACS Style

Sergio Márquez Sánchez; Francisco Lecumberri; Vishwani Sati; Ashish Arora; Niloufar Shoeibi; Sara Rodríguez; Juan M. Corchado Rodríguez. Edge Computing Driven Smart Personal Protective System Deployed on NVIDIA Jetson and Integrated with ROS. Communications in Computer and Information Science 2020, 385 -393.

AMA Style

Sergio Márquez Sánchez, Francisco Lecumberri, Vishwani Sati, Ashish Arora, Niloufar Shoeibi, Sara Rodríguez, Juan M. Corchado Rodríguez. Edge Computing Driven Smart Personal Protective System Deployed on NVIDIA Jetson and Integrated with ROS. Communications in Computer and Information Science. 2020; ():385-393.

Chicago/Turabian Style

Sergio Márquez Sánchez; Francisco Lecumberri; Vishwani Sati; Ashish Arora; Niloufar Shoeibi; Sara Rodríguez; Juan M. Corchado Rodríguez. 2020. "Edge Computing Driven Smart Personal Protective System Deployed on NVIDIA Jetson and Integrated with ROS." Communications in Computer and Information Science , no. : 385-393.

Conference paper
Published: 25 June 2019 in Advances in Intelligent Systems and Computing
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Wearable technologies are taking on increased importance in workspaces, because with then we can monitor the state of people and their environment and react appropriately according to the parameters they capture at real time. They are considered ideal for personal protection equipment doing risk checking and providing support and information to the worker for decision making. We identify solutions made available by industry 4.0 to prevent hazards with a wireless model consists of the design of different innovative PPE (Personal protective equipment) that incorporates intelligent tools and fabrics capable of reacting in real time to a risk situation. Seeking to improve the health and safety of work sectors where there is a high risk of an accident.

ACS Style

Sergio Márquez Sánchez. Electronic Textiles for Intelligent Prevention of Occupational Hazards. Advances in Intelligent Systems and Computing 2019, 217 -220.

AMA Style

Sergio Márquez Sánchez. Electronic Textiles for Intelligent Prevention of Occupational Hazards. Advances in Intelligent Systems and Computing. 2019; ():217-220.

Chicago/Turabian Style

Sergio Márquez Sánchez. 2019. "Electronic Textiles for Intelligent Prevention of Occupational Hazards." Advances in Intelligent Systems and Computing , no. : 217-220.

Conference paper
Published: 20 June 2019 in Proceedings of the 2nd International Conference on Data Engineering and Communication Technology
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Domestic violence is a common problem in society. This type of violence can be understood as a behaviour pattern in the form of physical and/or sexual abuse, threats, coercion, intimidation, isolation, emotional or economic abuse exercised in the field of family life against any member who forms its nucleus. Currently, numerous efforts have been made to mitigate this type of violence, on a social, legal, technological or any other level. However, this is a problem that is difficult to control due to the diversity of ways in which this pattern of behavior can be expressed and the large number of repeat offenders. In this context, it is necessary to take advantage of the benefits that technology brings to detect this type of problem early and take corrective action in time. Based on the above, this work proposes the development of a system supported by intelligent services to detect cases of violence in homes with a history of violence. The experimental results obtained from the implementation of the case study show that the incorporation of intelligent services into early domestic violence prevention systems can help to control cases of recidivism and take corrective action in advance, thus mitigating the consequences and in many cases helping to save lives.

ACS Style

Samuel Gallego Chimeno; Joaquín Delgado Fernández; Sergio Márquez Sánchez; Pablo Pueyo Ramón; Óscar Mauricio Salazar Ospina; Marcel Vicente Muñoz; Aarón González Hernández. Domestic Violence Prevention System. Proceedings of the 2nd International Conference on Data Engineering and Communication Technology 2019, 10 -14.

AMA Style

Samuel Gallego Chimeno, Joaquín Delgado Fernández, Sergio Márquez Sánchez, Pablo Pueyo Ramón, Óscar Mauricio Salazar Ospina, Marcel Vicente Muñoz, Aarón González Hernández. Domestic Violence Prevention System. Proceedings of the 2nd International Conference on Data Engineering and Communication Technology. 2019; ():10-14.

Chicago/Turabian Style

Samuel Gallego Chimeno; Joaquín Delgado Fernández; Sergio Márquez Sánchez; Pablo Pueyo Ramón; Óscar Mauricio Salazar Ospina; Marcel Vicente Muñoz; Aarón González Hernández. 2019. "Domestic Violence Prevention System." Proceedings of the 2nd International Conference on Data Engineering and Communication Technology , no. : 10-14.

Conference paper
Published: 01 May 2019 in Advances in Intelligent Systems and Computing
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Smart textiles can monitor the state of people and their environment, and react appropriately according to the parameters they capture. They are considered ideal for personal protection equipment. Currently, the rate of accidents among workers is high in all types of industries. Most of those accidents are caused by the lack of prevention measures, poor safety training and obsolete safety systems which do no adapt technologically to the needs of today’s workplace. In this work is presented a intelligent system providing workers the tools they need to prevent a large percentage of accidents and create safe working environments.

ACS Style

Sergio Márquez Sánchez; Roberto Casado Vara; Francisco Javier García Criado; Sara Rodríguez González; Javier Prieto Tejedor; Juan Manuel Corchado. Smart PPE and CPE Platform for Electric Industry Workforce. Advances in Intelligent Systems and Computing 2019, 422 -431.

AMA Style

Sergio Márquez Sánchez, Roberto Casado Vara, Francisco Javier García Criado, Sara Rodríguez González, Javier Prieto Tejedor, Juan Manuel Corchado. Smart PPE and CPE Platform for Electric Industry Workforce. Advances in Intelligent Systems and Computing. 2019; ():422-431.

Chicago/Turabian Style

Sergio Márquez Sánchez; Roberto Casado Vara; Francisco Javier García Criado; Sara Rodríguez González; Javier Prieto Tejedor; Juan Manuel Corchado. 2019. "Smart PPE and CPE Platform for Electric Industry Workforce." Advances in Intelligent Systems and Computing , no. : 422-431.