Conference Information
GOODTECHS 2021: EAI International Conference on Smart Objects and Technologies for Social Good
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Aveiro, Portugal
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Call For Papers

Social goods are products and services that could be provided through private enterprises,  government or non-profit institutions. It will benefit several people with special needs, including older adults, the performance of sports, and young people. Social goods are related to healthcare, safety, sports, environment, democracy, computer science, and human rights.

Sensors may be included in the development of solutions for social good that promote the support of different physical activities, air quality, temperature. The current pandemic scenario associated with the dispersion of coronavirus over the world highlights the critical role of sensors that can support the control and treatment of different diseases. The use of computer science technologies will support multiple cross-domain fields. Mobile devices include different types of sensors. These sensorial units include accelerometer, magnetometer, gyroscope, microphone, and Global Positioning System (GPS) receiver. These sensors can be used to create numerous solutions to promote social good. Also, smart environments include multiple types of sensors such as door sensors, contact sensors, motion sensors, and light sensors. The sensors can promote the recognition of different parameters. Furthermore, mobile devices are widely used, such as smartphone, tablets, and smartwatches. Mobile devices have different capabilities for the improvement of the results of Social Good solutions. The accuracy and statistical analysis of these systems are essential for their acceptance.

Human-Computer interaction and social networks help in the creation of diverse solutions and opportunities for the different types of people. The different environments can use some various technologies and architectures. Low-cost sensors can be used for the monitoring of different kinds of people, including electroencephalography, electrocardiography, and electromyography.

Sensorial systems promote the creation of medical solutions that supports the preliminary diagnosis of various diseases. Furthermore, the Internet of Things, Smart-cities, distributed sensing and Fog computing are representative examples of new information and communication technologies (ICT) paradigms that aim to describe a dynamic and globally cooperative infrastructure built upon objects’ intelligence and self-configuring capabilities. These connected objects are finding their way into our pockets, vehicles, urban areas and infrastructure.

The use of mobile devices is growing in different daily activities, and their use started in young people. Still, older adults are now using this type of devices. Technological tools are widely improving, and they include different sensors, which can acquire different physical and physiological data. The development of these systems is involved in the development of ICT technologies for well-being. Besides, the e-Health and m-Health solutions may not act only in the treatment and monitoring stages of different diseases.

Moreover, it can act as preventive, promoting healthy lifestyles and active coaching to avoid unhealthy habits. There are various solutions currently under development related to this field. These solutions can improve our quality of life and be used to the design and development of novel technologies for social help. It is a multidisciplinary and extensive subject for public health well-being. Additionally, Internet of Things applications provide a continuous stream of data collected in real-time. The data collected can be combined with machine learning methods to predict unexpected events in the context of a smart city. These cyber-physical systems are intelligent objects that can be the basis to develop enhanced technologies for social good.

In the GOODTECHS conference, we are hence interested in experiences with the design, implementation, deployment, operation and evaluation of smart objects and technologies for social good. We are not considering only the so-called first world as the scenario for this evolution. We also refer to those areas where ICT is currently less widespread, hoping that it may represent a societal development opportunity rather than a source for further divide.


The works that will be presented at the conference will focus on the following topics:

    App concepts and technologies for different mobile platforms
    Blockchain for social good
    Communication between mobile devices
    Content Distribution
    E-learning solutions
    Data collection, organization and dissemination methods
    Delay-tolerant aerial networks and ferrying approaches
    Deployment and field-testing
    Digital tools for art and feelings
    Environment sensing, monitoring and preservation
    Virtual Games, entertainment, and multimedia applications
    Health and social care
    Human-object interaction
    ICT for development
    Mobile service architectures and frameworks
    Mobility and handover management
    New application scenarios for vehicular communications
    Pervasive and ubiquitous services in cloud and IoT
    Platforms and framework for mobile devices
    Privacy issues and solutions
    Protocol design, testing and verification
    Security issues, architectures and solutions
    Smart cities and transportation
    Smart economy solutions: e-banking, e-business
    Smart governance and e-administration
    Smart living and E-health
    Technology addressing the digital divide
    Health care information systems interoperability, security and efficiency
    Ambient intelligence for well-being and e-health applications, supported by RFID technology and Wireless Sensor Networks
    Mobile applications and ubiquitous devices in Healthcare and lifestyle training
    Robotic systems and devices for health care and medicine
    Technologies to promote a healthy and secure society
    Big Data Analytics for e-health
    Assessment of Acceptance/Adoption models Cultural Evaluation of e-health
    Acceptance e-health and economic growth Factors affecting e-health adoption
    Machine learning for healthcare
    Intelligent systems for young and older adults using mobile devices
    Human factors, efficient cost control and management in society
    Intelligent decision support and data systems in health care, medicine and society
    Innovation in people supporting activities (e.g. health care, schooling and services)
    Embedded systems for healthcare
    IT Acceptance Models Acceptance of e-health services
    Major barriers and facilitators for e-health
    Bio signal Acquisition, Analysis and Processing
    Semantic Technologies and Cognition
    Physiological Computing in Mobile Devices
    Augmented Reality in Healthcare using Wearable devices
    Sensors and Actuators
    Cloud computing for healthcare
    Mobile application concepts and technologies for different mobile platforms
    Cyber-physical systems and real-time data collection for social good
    Machine learning applications for social good
Last updated by Dou Sun in 2021-01-01
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