It is intended to develop the following students skills
LO1. Identify the technologies of smart sensors and associated electronics with application in AAL systems for healthcare as well as for physical and cognitive training for older people.
LO2. Develop skills that allow identifying, analyzing, designing and implementing of innovative digital solutions for AAL from a strategic and sustainable perspective;
LO3 Develop hardware and software modules specific to intelligent systems and obtain integration skills to create optimized AAL intelligent systems with a high level of adoption.
LO4. Design and implement intelligent systems characterized by adaptive interfaces and data science modules.
LO5. Increase the capacity for research and innovation to achieve the objectives linked to master's or doctoral work based on collaborative and multidisciplinary work with the dissemination of research results.
CP1: Technologies for intelligent sensors including types of detection and associated electronics;
CP2: Computing platforms, communication protocols and processing algorithms for intelligent sensors in the IoT Ecosystem;
CP3: Integration of intelligent modules in AAL considering concepts, methods and methodologies - co-design practices, barriers and facilitators in the adoption of AAL solutions;
CP4: Adaptive interfaces AAL: Mobile interfaces AR and VR considering the needs of users.
CP5: Software tools and data science algorithms for AAL;
CP6 Design, Implementation and validation of AAL system characterized by functionalities related to intelligent health, tax and cognitive training, support in carrying out daily tasks and well-being.
Assessment is based on the compulsory presence of the student in 70% of all the activities of the course, realization and presentation of the carried out work.
Specific evaluation is based on:
1) 20% Attendance and participation in sessions and activities such as seminars and workshops;
2) 50% Work/Project carried out individually and in the group;
3) 30% Participation in experimental work in the laboratory, work presentations and demonstrations of AAL prototypes in seminars and workshops.
Mandatory
Nuno M. Garcia, Joel Jose P.C. Rodrigues, Eds, Ambient Assisted Living (Rehabilitation Science in Practice Series) 1st Edition, CRC Press, ISBN-13: 978-1439869840, 2016. IoT Fundamentals: Networking Technologies, Protocols, and Use Cases for the Internet of Things, Cisco Press, 2017. Subhas Chandra Mukhopadhyay, Octavian Postolache, Pervasive and Mobile Sensing and Computing for Healthcare, Springer 2013 Subhas Chandra Mukhopadhyay, Krishanthi P. Jayasundera, Octavian Postolache, Modern Sensing Technologies, Springer Nature Switzerland AG 2019 Tero Karvinen, Kimmo Karvinen, Ville Valtokari Make: Sensors: A Hands-On Primer for Monitoring the Real World with Arduino and Raspberry Pi (Inglês) 2º Edição
Optional
Changzhan Gu e Jaime Lien, Short-Range Micro-Motion Sensing with Radar Technology (Control, Robotics and Sensors), IET, 2019 Samuel Greengard, The Internet of Things (The MIT Press Essential Knowledge series), 2015 Charles Bell, MicroPython for the Internet of Things: A Beginner?s Guide to Programming with Python on Microcontrollers 1st ed. Edição 2016 Gaston C. Hillar, Internet of Things with Python, Packt 2016 Korn, O. (2019). Social robots: technological, societal, and ethical aspects of human-robot interaction. Springer. D. Kent Shannon , David E. Clay (Author), Newell R. Kitchen (Author)Precision Agriculture Basics (ASA, CSSA, and SSSA Books) (Inglês) 1ª Edição, 2020 Anindya Nag, Subhas Chandra Mukhopadhyay, Printed Flexible Sensors: Fabrication, Characterization and Implementation (Smart Sensors, Measurement and Instrumentation), Springer 2019 Jose Ignacio Priego Quesada, Application of Infrared Thermography in Sports Science (Biological and Medical Physics, Biomedical Engineering), 2017
