Desarrollo de un modelo de simulación de realidad virtual usando un dispositivo portable en un entorno virtual

The world population is aging, The quality life in elder people deteriorates with age, this is because of the sedentary lifestyle in which they live, consequently these countries must adapt much more rapidly to this aging. Therapy and Physical activity helps to improve health and well-being in the elders, bringing longevity and improves their life quality. The Technology has been used as a tool in various fields and there are some applications that have been developed to encourage sports through entertainment. Nintendo Wii and Kinect games had a positive impact on the overall well-being of the elderly, compared to a other group that played traditional board games. The life quality of the elderly is impaired by the lack of physical activity, entertainment and lack of memory use. This work aims to solve this problem with the implementation of a system that promotes physical activity through body movements, generate entertainment through the control of a drone in a virtual environment and promote memory through remembering movement patterns that is due perform to be able to control the virtual Drone correctly. This work makes use of wireless devices, wearable, light and with IMU sensors integrated in order to generate a body area network system that scans each arm movement and sends that information through Bluetooth Low Energy (BLE) technology to a virtual environment and control an UAV (Unamed Aereal Vehicle) remotely. The proposed system includes a 3D simulator that uses VR glasses for an immersive visualization in a virtual world, 2 Raspberry Pi devices with Sense HAT board integrated as hand controls, these plates are equipped with an IMU sensor that is responsible for the arms movement monitoring. This proposal allows an interconnection of portable devices through wireless technology and combine them with immersive virtual environments to generate a system that emulates the control of a Drone in a simulated environment. In order to adapt the system and focus on older people, it is proposed to implement 2 visualization modes and 2 difficulty modes, the visualization modes determine the perspective in which the user looks at the environment while the user controls the Drone, The First perspective, is defined by a third person camera system, where the user is layers of watching the Drone while controlling it and the second mode corresponds to a first person camera system, where the user's eyes are in the same drone position, this mode allows appreciate the environment in a better way, but does not allow to visualize the UAV. In the performed tests, each user had his / her own preferences, some of them liked to use the simulator with first persona camera configuration and others with third person camera configuration. this way the system is designed to adapt to the visualization mode of each individual. With respect to the difficulty modes, the simulator offers the possibility to use the maneuver the drone through 2 mechanisms, in easy mode, where the user only needs to make 4 movements between both hands and the difficult mode where the user requires 6 movements between both hands in order to have a total drone control, this allows the user to develop cognitive skills (Eye-hand coordination) and improve physical and mental health, when using this system. Through the tests of latency, it is determined that the transmission of data through Bluetooth Low Energy is extremely fast which means that the movements of hands that the user performs become real motions of the Virtual Drone in real time. A real time simulator is a system that offers reaction times similar to reality, this determines the efficiency of the simulator when it is used as training before using a real Drone. Performed tests with older adults reveal an evolution of skills when using the system progressively in each of the different modes of use. The interest, the entertainment and the physical activity that the system promotes in the elderly, is enough to improve their quality of life by contributing in the reduction of the sedentary, promoting the physical activity and mental state. To achieve the implementation of this system we propose a parallel development of a native Android application that makes use of the same system of body area networks of sensors to maneuver a real dron (Phantom 4) using only the movement of hands, with the object of validate the functions and movements of the virtual drone based on the movements of the real dron under the same control mechanism

Social work with airports passengers

Social work at the airport is in to offer to passengers social services. The main methodological position is that people are under stress, which characterized by a particular set of characteristics in appearance and behavior. In such circumstances passenger attracts in his actions some attention. Only person whom he trusts can help him with the documents or psychologically

Enhanced Living Environments

This open access book was prepared as a Final Publication of the COST Action IC1303 “Algorithms, Architectures and Platforms for Enhanced Living Environments (AAPELE)”. The concept of Enhanced Living Environments (ELE) refers to the area of Ambient Assisted Living (AAL) that is more related with Information and Communication Technologies (ICT). Effective ELE solutions require appropriate ICT algorithms, architectures, platforms, and systems, having in view the advance of science and technology in this area and the development of new and innovative solutions that can provide improvements in the quality of life for people in their homes and can reduce the financial burden on the budgets of the healthcare providers. The aim of this book is to become a state-of-the-art reference, discussing progress made, as well as prompting future directions on theories, practices, standards, and strategies related to the ELE area. The book contains 12 chapters and can serve as a valuable reference for undergraduate students, post-graduate students, educators, faculty members, researchers, engineers, medical doctors, healthcare organizations, insurance companies, and research strategists working in this area

Feature Papers of Drones - Volume II

[EN] The present book is divided into two volumes (Volume I: articles 1–23, and Volume II: articles 24–54) which compile the articles and communications submitted to the Topical Collection ”Feature Papers of Drones” during the years 2020 to 2022 describing novel or new cutting-edge designs, developments, and/or applications of unmanned vehicles (drones). Articles 24–41 are focused on drone applications, but emphasize two types: firstly, those related to agriculture and forestry (articles 24–35) where the number of applications of drones dominates all other possible applications. These articles review the latest research and future directions for precision agriculture, vegetation monitoring, change monitoring, forestry management, and forest fires. Secondly, articles 36–41 addresses the water and marine application of drones for ecological and conservation-related applications with emphasis on the monitoring of water resources and habitat monitoring. Finally, articles 42–54 looks at just a few of the huge variety of potential applications of civil drones from different points of view, including the following: the social acceptance of drone operations in urban areas or their influential factors; 3D reconstruction applications; sensor technologies to either improve the performance of existing applications or to open up new working areas; and machine and deep learning development

Measuring knowledge sharing processes through social network analysis within construction organisations

The construction industry is a knowledge intensive and information dependent industry. Organisations risk losing valuable knowledge, when the employees leave them. Therefore, construction organisations need to nurture opportunities to disseminate knowledge through strengthening knowledge-sharing networks. This study aimed at evaluating the formal and informal knowledge sharing methods in social networks within Australian construction organisations and identifying how knowledge sharing could be improved. Data were collected from two estimating teams in two case studies. The collected data through semi-structured interviews were analysed using UCINET, a Social Network Analysis (SNA) tool, and SNA measures. The findings revealed that one case study consisted of influencers, while the other demonstrated an optimal knowledge sharing structure in both formal and informal knowledge sharing methods. Social networks could vary based on the organisation as well as the individuals’ behaviour. Identifying networks with specific issues and taking steps to strengthen networks will enable to achieve optimum knowledge sharing processes. This research offers knowledge sharing good practices for construction organisations to optimise their knowledge sharing processes

The 45th Australasian Universities Building Education Association Conference: Global Challenges in a Disrupted World: Smart, Sustainable and Resilient Approaches in the Built Environment, Conference Proceedings, 23 - 25 November 2022, Western Sydney University, Kingswood Campus, Sydney, Australia

This is the proceedings of the 45th Australasian Universities Building Education Association (AUBEA) conference which will be hosted by Western Sydney University in November 2022. The conference is organised by the School of Engineering, Design, and Built Environment in collaboration with the Centre for Smart Modern Construction, Western Sydney University. This year’s conference theme is “Global Challenges in a Disrupted World: Smart, Sustainable and Resilient Approaches in the Built Environment”, and expects to publish over a hundred double-blind peer review papers under the proceedings

Drones and Geographical Information Technologies in Agroecology and Organic Farming

Although organic farming and agroecology are normally not associated with the use of new technologies, it’s rapid growth, new technologies are being adopted to mitigate environmental impacts of intensive production implemented with external material and energy inputs. GPS, satellite images, GIS, drones, help conventional farming in precision supply of water, pesticides, fertilizers. Prescription maps define the right place and moment for interventions of machinery fleets. Yield goal remains the key objective, integrating a more efficient use or resources toward an economic-environmental sustainability. Technological smart farming allows extractive agriculture entering the sustainability era. Societies that practice agroecology through the development of human-environmental co-evolutionary systems represent a solid model of sustainability. These systems are characterized by high-quality agroecosystems and landscapes, social inclusion, and viable economies. This book explores the challenges posed by the new geographic information technologies in agroecology and organic farming. It discusses the differences among technology-laden conventional farming systems and the role of technologies in strengthening the potential of agroecology. The first part reviews the new tools offered by geographic information technologies to farmers and people. The second part provides case studies of most promising application of technologies in organic farming and agroecology: the diffusion of hyperspectral imagery, the role of positioning systems, the integration of drones with satellite imagery. The third part of the book, explores the role of agroecology using a multiscale approach from the farm to the landscape level. This section explores the potential of Geodesign in promoting alliances between farmers and people, and strengthening food networks, whether through proximity urban farming or asserting land rights in remote areas in the spirit of agroecological transition. The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons 4.0 license

Semantic location extraction from crowdsourced data

Crowdsourced Data (CSD) has recently received increased attention in many application areas including disaster management. Convenience of production and use, data currency and abundancy are some of the key reasons for attracting this high interest. Conversely, quality issues like incompleteness, credibility and relevancy prevent the direct use of such data in important applications like disaster management. Moreover, location information availability of CSD is problematic as it remains very low in many crowd sourced platforms such as Twitter. Also, this recorded location is mostly related to the mobile device or user location and often does not represent the event location. In CSD, event location is discussed descriptively in the comments in addition to the recorded location (which is generated by means of mobile device's GPS or mobile communication network). This study attempts to semantically extract the CSD location information with the help of an ontological Gazetteer and other available resources. 2011 Queensland flood tweets and Ushahidi Crowd Map data were semantically analysed to extract the location information with the support of Queensland Gazetteer which is converted to an ontological gazetteer and a global gazetteer. Some preliminary results show that the use of ontologies and semantics can improve the accuracy of place name identification of CSD and the process of location information extraction