Smart Collaborative Mobile System for Taking Care of Disabled and Elderly People

Official statistics data show that in many countries the population is aging. In addition, there are several illnesses and disabilities that also affect a small sector of the population. In recent years, researchers and medical foundations are working in order to develop systems based on new technologies and enhance the quality of life of them. One of the cheapest ways is to take advantage of the features provided by the smartphones. Nowadays, the development of reduced size smartphones, but with high processing capacity, has increased dramatically. We can take profit of the sensors placed in smartphones in order to monitor disabled and elderly people. In this paper, we propose a smart collaborative system based on the sensors embedded in mobile devices, which permit us to monitor the status of a person based on what is happening in the environment, but comparing and taking decisions based on what is happening to its neighbors. The proposed protocol for the mobile ad hoc network and the smart system algorithm are described in detail. We provide some measurements showing the decisions taken for several common cases and we also show the performance of our proposal when there is a medium size group of disabled or elderly people. Our proposal can also be applied to take care of children in several situations.This work has been partially supported by the Instituto de Telecomunicacoes, Next Generation Networks and Applications Group (NetGNA), Portugal, and by National Funding from the FCT - Fundacao para a Ciencia e a Tecnologia through the PEst-OE/EEI/LA0008/2011 Project.Sendra Compte, S.; Granell Romero, E.; Lloret, J.; Rodrigues, JJPC. (2014). Smart Collaborative Mobile System for Taking Care of Disabled and Elderly People. 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LoRa-Based System for Tracking Runners in Cross Country Races

[EN] In recent years, there is an important trend in the organization of cross country races and popular races where hundred people usually participate. In these events, runners usually subject the body to extreme situations that can lead to various types of indisposition and they can also suffer falls. Currently, the electronic systems used in this type of racing refer only to whether a runner has passed through a checkpoint. However, it is necessary to implement systems that allow controlling the population of runners knowing their status all the time. For this reason, this paper proposes the design of a low-cost system for monitoring and controlling runners in this type of event. The system is formed by a network architecture in infrastructure mode based on Low-Power Wide-Area Network (LPWAN) technology. Each runner will carry an electronic device that will give their position and vital signs to be monitored. Likewise, it will incorporate an S.O.S. button that will allow sending a warning to the organization in order to help the person. All these data will be sent through the network to a database that will allow the organization and the public attending the race to check where the runner is and the history of their vital signs. This paper shows the proposed design to our system. Therefore, the paper will show the different practical experiments we have been carried out with the devices that have allowed proposing this design.This work has been partially supported by the Ministerio de Ciencia, Innovación y Universidades through the Ayudas para la adquisición de equipamiento científico-técnico, Subprograma estatal de infraestructuras de investigación y equipamiento científico-técnico (plan Estatal I+D+i 2017-2020) (project EQC2018-004988-P).Sendra, S.; Romero-Díaz, P.; García-Navas, JL.; Lloret, J. (2019). LoRa-Based System for Tracking Runners in Cross Country Races. MDPI. 1-6. https://doi.org/10.3390/ecsa-6-066291

An architecture and protocol for smart continuous eHealth monitoring using 5G

[EN] Continuous monitoring of chronic patients improves their quality of life and reduces the economic costs of the sanitary system. However, in order to ensure a good monitoring, high bandwidth and low delay are needed. The 5G technology offers higher bandwidth, lower delays and packets loss than previous technologies. This paper presents an architecture for smart eHealth monitoring of chronic patients. The architecture elements include wearable devices, to collect measures from the body, and a smartphone at the patient side in order to process the data received from the wearable devices. We also need a DataBase with an intelligent system able to send an alarm when it detects that it is happening something anomalous. The intelligent system uses machine learning in BigData taken from different hospitals and the data received from the patient to diagnose and generate alarms. Experiment tests have been done to simulate the traffic from many users to the DataBase in order to evaluate the suitability of 5G in our architecture. When there are few users (less than 200 users), we do not find big differences of round trip time between 4G and 5G, but when there are more users, like 1000 users, it increases considerably reaching 4 times more in 4G The Packet Loss is almost null in 4G until 300 users, while in 5G it is possible to keep it null until 700 users. Our results point out that in order to have high number of patients continuously monitored, it is necessary to use the 5G network because it offers low delays and guarantees the availability of bandwidth for all users.This work has been partially supported by the "Ministerio de Educacion, Cultura y Deporte", through the "Ayudas para contratos predoctorales de Formacion del Profesorado Universitario FPU (Convocatoria 2014)". Grant number FPU14/02953.Lloret, J.; Parra-Boronat, L.; Abdullah, MTA.; Tomás Gironés, J. (2017). An architecture and protocol for smart continuous eHealth monitoring using 5G. Computer Networks. 129(2):340-351. https://doi.org/10.1016/j.comnet.2017.05.018S340351129

Smart system for children's chronic illness monitoring

[EN] Sick children need a continuous monitoring, but this involves high costs for the government and for the parents. The use of information and communication technologies (ICT) jointly with artificial intelligence and smart devices can reduce these costs, help the children and assist their parents. This paper presents a smart architecture for children's chronic illness monitoring that will let the caregivers (parents, teachers and doctors) to remotely monitor the health of the children based on the sensors embedded in the smartphones and smart wearable devices. The proposed architecture includes a smart algorithm developed to intelligently detect if a parameter has exceeded a threshold, thus it may imply an emergency or not. To check the correct operation of this system, we have developed a small wearable device that is able to measure the heart rate and the body temperature. We have designed a secure mechanism to stablish a Bluetooth connection with the smartphone. In addition, the system is able to perform the data fusion in both the information packetizing process, which contributes to improve the protocol performance, and in the measured values combination, where it is used a stochastic approach. As a result, our system can fusion data from different sensors in real-time and detect automatically strange situations for sending a warning to the caregivers. Finally, the consumed bandwidth and battery autonomy of the developed device have been measured.This work has been partially supported by the "Ministerio de EducaciOn, Cultura y Deporte", through the "Ayudas para contratos predoctorales de Formacion del Profesorado Universitario FPU (Convocatoria 2014)". Grant number FPU14/02953.Sendra, S.; Parra-Boronat, L.; Lloret, J.; Tomás Gironés, J. (2018). Smart system for children's chronic illness monitoring. Information Fusion. 40:76-86. https://doi.org/10.1016/j.inffus.2017.06.002S76864

Multimedia sensors embedded in smartphones for ambient assisted living and e-health

The final publication is available at link.springer.com[EN] Nowadays, it is widely extended the use of smartphones to make human life more comfortable. Moreover, there is a special interest on Ambient Assisted Living (AAL) and e-Health applications. The sensor technology is growing and amount of embedded sensors in the smartphones can be very useful for AAL and e-Health. While some sensors like the accelerometer, gyroscope or light sensor are very used in applications such as motion detection or light meter, there are other ones, like the microphone and camera which can be used as multimedia sensors. This paper reviews the published papers focused on showing proposals, designs and deployments of that make use of multimedia sensors for AAL and e-health. We have classified them as a function of their main use. They are the sound gathered by the microphone and image recorded by the camera. We also include a comparative table and analyze the gathered information.Parra-Boronat, L.; Sendra, S.; Jimenez, JM.; Lloret, J. (2016). Multimedia sensors embedded in smartphones for ambient assisted living and e-health. Multimedia Tools and Applications. 75(21):13271-13297. doi:10.1007/s11042-015-2745-8S13271132977521Acampora G, Cook DJ, Rashidi P, Vasilakos AV (2013) A survey on ambient intelligence in healthcare. Proc IEEE 101(12):2470–2494Al-Attas R, Yassine A, Shirmohammadi S (2012) Tele-Medical Applications in Home-Based Health Care. In proceeding of the 2012 I.E. International Conference on Multimedia and Expo Workshops (ICMEW 2012). Jul. 9–13, 2012. Melbourne, Australia. (pp. 441–446)Alemdar H, Ersoy C (2010) Wireless sensor networks for healthcare: a survey. Comput Netw 54(15):2688–2710Alqassim S, Ganesh M, Khoja S, Zaidi M, Aloul F, Sagahyroon A (2012) Sleep apnea monitoring using mobile phones. 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Exploring Former & Modern Views: A Catch-All to Assistive Technology Applications

In life, everyone faces personalized conditions such as ageing, disease, and impairments in hearing, vision, or mobility. In addition, some individuals are born with disabilities that can limit their participation in various areas of life, including work, education, and daily activities. Assistive technology (AT) is a field that aims to provide tools and resources to facilitate the needs of individuals with disabilities or impairments. This article reviews the latest advances in AT, focusing on using Internet of Things (IoT) technologies to provide innovative solutions. The article discusses the deployment of assistive devices in various areas, such as building access, information access, and work and education participation. The goal of this research is to highlight the potential of AT to improve the lives of individuals with disabilities and to provide an overview of the current state of the field. The article also discusses the use of IoT-based solutions in assistive technology and identifies promising areas for future development and deployment. By providing a comprehensive review of the latest advancements in AT, this research aims to contribute to the ongoing efforts to enhance functional capacities and improve the quality of life for individuals with disabilities

Assisted Protection Headphone Proposal to Prevent Chronic Exposure to Percussion Instruments on Musicians

[EN] The effects of chronic exposure to high sound pressure levels (SPLs) are widely studied in the industry environment. However, the way that SPLs affect music students has not been thoroughly examined. In this paper, we study the SPL exposure of batucada students and we propose an assisted protection headphone as a part of e-health system. We measured the SPL reached during a regular percussion class. Pure-tone audiometries were performed to a set of percussion students. The gathered data were statistically analyzed. The assisted protection headphones and their operation are detailed and tested during a regular class. Our results show that 35% of the musicians present with a noise-induced hearing loss, considered as two frequencies with hearing loss of 25 dB or more or one frequency with a hearing loss of 30 dB or more. Our data also shows that those students that do not use any protection have a greater hearing loss. However, the students that use protection headphones are also suffering hearing loss. There might be a problem in the way that musicians are using the protection headphones. Our assisted protection headphones as a part of e-health measures can diminish the negative effects of percussion instruments for musicians.This work has been partially supported by the "Ministerio de Educacion, Cultura y Deporte", through the "Ayudas para contratos predoctorales de Formacion del Profesorado Universitario FPU (Convocatoria 2014)," Grant no. FPU14/02953. The authors would like to give thanks to Borumbaia Percussion School, especially to Guillermo Tarin Paris and all the musicians in his class for his support to take measurements for this research.Parra-Boronat, L.; Torres, M.; Lloret, J.; Campos, A.; Bosch Roig, I. (2018). Assisted Protection Headphone Proposal to Prevent Chronic Exposure to Percussion Instruments on Musicians. Journal of Healthcare Engineering (Online). 1-11. https://doi.org/10.1155/2018/9672185S111Peng, J.-H., Tao, Z.-Z., & Huang, Z.-W. (2007). Risk of Damage to Hearing from Personal Listening Devices in Young Adults. The Journal of Otolaryngology, 36(03), 179. doi:10.2310/7070.2007.0032Dobrucki, A. B., Kin, M. J., & Kruk, B. (2013). Preliminary Study on the Influence of Headphones for Listening Music on Hearing Loss of Young People. Archives of Acoustics, 38(3), 383-387. doi:10.2478/aoa-2013-0045Størmer, C. L., Laukli, E., Høydal, E., & Stenklev, N. (2015). Hearing loss and tinnitus in rock musicians: A Norwegian survey. Noise and Health, 17(79), 411. doi:10.4103/1463-1741.169708Putter-Katz, H., Halevi-Katz, D., & Yaakobi, E. (2015). Exposure to music and noise-induced hearing loss (NIHL) among professional pop/rock/jazz musicians. Noise and Health, 17(76), 158. doi:10.4103/1463-1741.155848Rghioui, A., Sendra, S., Lloret, J., & Oumnad, A. (2016). Internet of Things for Measuring Human Activities in Ambient Assisted Living and e-Health. Network Protocols and Algorithms, 8(3), 15. doi:10.5296/npa.v8i3.10146Lloret, J., Parra, L., Taha, M., & Tomás, J. (2017). An architecture and protocol for smart continuous eHealth monitoring using 5G. Computer Networks, 129, 340-351. doi:10.1016/j.comnet.2017.05.018Sendra, S., Parra, L., Lloret, J., & Tomás, J. (2018). Smart system for children’s chronic illness monitoring. Information Fusion, 40, 76-86. doi:10.1016/j.inffus.2017.06.002Sendra, S., Granell, E., Lloret, J., & Rodrigues, J. J. P. C. (2013). Smart Collaborative Mobile System for Taking Care of Disabled and Elderly People. Mobile Networks and Applications, 19(3), 287-302. doi:10.1007/s11036-013-0445-zAtto, M., & Guy, C. (2015). Routing Protocols for Structural Health Monitoring of Bridges Using Wireless Sensor Networks. Network Protocols and Algorithms, 7(1), 1. doi:10.5296/npa.v7i1.7264Lloret, J., Canovas, A., Sendra, S., & Parra, L. (2015). A smart communication architecture for ambient assisted living. IEEE Communications Magazine, 53(1), 26-33. doi:10.1109/mcom.2015.7010512Schmuziger, N., Patscheke, J., & Probst, R. (2006). Hearing in Nonprofessional Pop/Rock Musicians. Ear and Hearing, 27(4), 321-330. doi:10.1097/01.aud.0000224737.34907.5ePawlaczyk-Łuszczyńska, M., Zamojska-Daniszewska, M., Dudarewicz, A., & Zaborowski, K. (2017). Exposure to excessive sounds and hearing status in academic classical music students. International Journal of Occupational Medicine and Environmental Health. doi:10.13075/ijomeh.1896.00709Patil, M. L., Sadhra, S., Taylor, C., & Folkes, S. E. F. (2013). Hearing loss in British Army musicians. Occupational Medicine, 63(4), 281-283. doi:10.1093/occmed/kqt026Schink, T., Kreutz, G., Busch, V., Pigeot, I., & Ahrens, W. (2014). Incidence and relative risk of hearing disorders in professional musicians. Occupational and Environmental Medicine, 71(7), 472-476. doi:10.1136/oemed-2014-102172Rodrigues, M., Freitas, M., Neves, M., & Silva, M. (2014). Evaluation of the noise exposure of symphonic orchestra musicians. Noise and Health, 16(68), 40. doi:10.4103/1463-1741.127854Nelson, D. I., Nelson, R. Y., Concha-Barrientos, M., & Fingerhut, M. (2005). The global burden of occupational noise-induced hearing loss. American Journal of Industrial Medicine, 48(6), 446-458. doi:10.1002/ajim.2022

Mobile Sensing Systems

[EN] Rich-sensor smart phones have made possible the recent birth of the mobile sensing research area as part of ubiquitous sensing which integrates other areas such as wireless sensor networks and web sensing. There are several types of mobile sensing: individual, participatory, opportunistic, crowd, social, etc. The object of sensing can be people-centered or environment-centered. The sensing domain can be home, urban, vehicular Currently there are barriers that limit the social acceptance of mobile sensing systems. Examples of social barriers are privacy concerns, restrictive laws in some countries and the absence of economic incentives that might encourage people to participate in a sensing campaign. Several technical barriers are phone energy savings and the variety of sensors and software for their management. Some existing surveys partially tackle the topic of mobile sensing systems. Published papers theoretically or partially solve the above barriers. We complete the above surveys with new works, review the barriers of mobile sensing systems and propose some ideas for efficiently implementing sensing, fusion, learning, security, privacy and energy saving for any type of mobile sensing system, and propose several realistic research challenges. The main objective is to reduce the learning curve in mobile sensing systems where the complexity is very high.This work has been partially supported by the "Ministerio de Ciencia e Innovacion", through the "Plan Nacional de I+D+i 2008-2011" in the "Subprograma de Proyectos de Investigacion Fundamental", project TEC2011-27516, and by the Polytechnic University of Valencia, through the PAID-05-12 multidisciplinary projects.Macias Lopez, EM.; Suarez Sarmiento, A.; Lloret, J. (2013). Mobile Sensing Systems. Sensors. 13(12):17292-17321. https://doi.org/10.3390/s131217292S1729217321131

Analysis of User Mobility Models Based on Outdoor Measurement Data and Literature Surveys

The main objectives of the presented work are to study the various existing human mobility models based on literature reviews and to select an appropriate and simplified mobility model fit to the available measurement data. This thesis work is mainly processing a part of “Big Data” that was collected from large number of people, known as Mobile Data Challenge (MDC). MDC is large scale data collection from Smartphone based research. The thesis also addressed the fact that appropriate mobility models could be utilized in many important practical applications, such as in public health care units, for elderly care and monitoring, to improve the localization algorithms, in cellular communications networks to avoid traffic congestion, for designing of such systems that can predict prior users location, in economic forecasting, for public transportation systems and for developing social mobile applications. Basically, mobility models indicate the movement patterns of users and how their position, velocity and acceleration vary with respect to time. Such models can be widely used in the investigation of advanced communication and navigation techniques. These human mobility models are normally classified into two main models, namely; entity mobility models and group mobility models. The presented work focuses on the entity mobility models. The analysis was done in Matlab, based on the measurement data available in MDC database, the several parameters of Global Positioning System (GPS) data were extracted, such as time, latitude, longitude, altitude, speed, horizontal accuracy, horizontal Dilution of Precision (DOP), vertical accuracy, vertical DOP, speed accuracy etc. Parts of these parameters, namely the time, latitude, longitude, altitude and speed were further investigated in the context of basic random walk mobility model. The data extracted from the measurements was compared with the 2-D random walk mobility model. The main findings of the thesis are that the random walk model is not a perfect fit for the available user measurement data, but can be used as a starting point in analyzing the user mobility models

Systems and algorithms for wireless sensor networks based on animal and natural behavior

In last decade, there have been many research works about wireless sensor networks (WSNs) focused on improving the network performance as well as increasing the energy efficiency and communications effectiveness. Many of these new mechanisms have been implemented using the behaviors of certain animals, such as ants, bees, or schools of fish.These systems are called bioinspired systems and are used to improve aspects such as handling large-scale networks, provide dynamic nature, and avoid resource constraints, heterogeneity, unattended operation, or robustness, amongmanyothers.Therefore, thispaper aims to studybioinspired mechanisms in the field ofWSN, providing the concepts of these behavior patterns in which these new approaches are based. The paper will explain existing bioinspired systems in WSNs and analyze their impact on WSNs and their evolution. In addition, we will conduct a comprehensive review of recently proposed bioinspired systems, protocols, and mechanisms. Finally, this paper will try to analyze the applications of each bioinspired mechanism as a function of the imitated animal and the deployed application. Although this research area is considered an area with highly theoretical content, we intend to show the great impact that it is generating from the practical perspective.Sendra, S.; Parra Boronat, L.; Lloret, J.; Khan, S. (2015). Systems and algorithms for wireless sensor networks based on animal and natural behavior. International Journal of Distributed Sensor Networks. 2015:1-19. doi:10.1155/2015/625972S1192015Iram, R., Sheikh, M. I., Jabbar, S., & Minhas, A. A. (2011). Computational intelligence based optimization in wireless sensor network. 2011 International Conference on Information and Communication Technologies. doi:10.1109/icict.2011.5983561Lloret, J., Bosch, I., Sendra, S., & Serrano, A. (2011). A Wireless Sensor Network for Vineyard Monitoring That Uses Image Processing. 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Adaptive design optimization of wireless sensor networks using genetic algorithms. Computer Networks, 51(4), 1031-1051. doi:10.1016/j.comnet.2006.06.013Jia, J., Chen, J., Chang, G., & Tan, Z. (2009). Energy efficient coverage control in wireless sensor networks based on multi-objective genetic algorithm. Computers & Mathematics with Applications, 57(11-12), 1756-1766. doi:10.1016/j.camwa.2008.10.036Nan, G.-F., Li, M.-Q., & Li, J. (2007). Estimation of Node Localization with a Real-Coded Genetic Algorithm in WSNs. 2007 International Conference on Machine Learning and Cybernetics. doi:10.1109/icmlc.2007.4370265Saleem, K., Fisal, N., Abdullah, M. S., Zulkarmwan, A. B., Hafizah, S., & Kamilah, S. (2009). Proposed Nature Inspired Self-Organized Secure Autonomous Mechanism for WSNs. 2009 First Asian Conference on Intelligent Information and Database Systems. doi:10.1109/aciids.2009.75Jabbari, A., & Lang, W. (2010). 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Smart Collaborative Mobile System for Taking Care of Disabled and Elderly People. Mobile Networks and Applications, 19(3), 287-302. doi:10.1007/s11036-013-0445-zGarcia, M., Sendra, S., Lloret, G., & Lloret, J. (2011). Monitoring and control sensor system for fish feeding in marine fish farms. IET Communications, 5(12), 1682-1690. doi:10.1049/iet-com.2010.0654Sendra, S., Lloret, J., Rodrigues, J. J. P. C., & Aguiar, J. M. (2013). Underwater Wireless Communications in Freshwater at 2.4 GHz. IEEE Communications Letters, 17(9), 1794-1797. doi:10.1109/lcomm.2013.072313.131214Lloret, J., Sendra, S., Ardid, M., & Rodrigues, J. J. P. C. (2012). Underwater Wireless Sensor Communications in the 2.4 GHz ISM Frequency Band. Sensors, 12(4), 4237-4264. doi:10.3390/s12040423