Ambient Intelligence and Smart Devices

Ss. Cyril and Methodius University in Skopje

Introduction to the concept of mobile sensor systems and their use in everyday life, wearable sensors, smart devices, ambient intelligence. This course aims to provide students with knowledge of practical tools and techniques for working with mobile sensor data, including data collection, processing, and building appropriate models.

Chapter 1: Introduction to Mobile Sensor Systems and Smart Devices

In this opening chapter, we delve into the fascinating world of mobile sensor systems, smart devices, and wearable sensors. We explore the evolution of technology that has given rise to the interconnected world of smart gadgets, setting the stage for a deeper understanding of their impact on our daily lives. Readers gain insights into the historical context and development of mobile sensor systems, smart devices, and wearable sensors.

Chapter 2: Sensors in Smartphones and Smartwatches

This chapter focuses on the technological marvels embedded within our everyday devices. We examine the sophisticated sensors integrated into smartphones and smartwatches, unlocking a realm of possibilities for enhanced user experiences and innovative applications. Readers acquire a comprehensive understanding of the diverse sensors present in smartphones and smartwatches, setting the groundwork for further exploration.

Chapter 3: Ambient Intelligence and Its Applications

Introducing the concept of Ambient Intelligence, Chapter 3 takes readers on a journey through the seamless integration of technology into our surroundings. We explore applications such as recognizing human activity, automatic fall detection, and calorie estimation, showcasing the transformative power of Ambient Intelligence in enhancing our daily lives. Readers gain knowledge about the practical applications of Ambient Intelligence, understanding how it contributes to creating smarter and more responsive environments.

Chapter 4: Sensors, Sensor Data, and Data Fusion

Diving into the technical aspects, Chapter 4 provides a comprehensive overview of sensors, sensor data, and the intricate process of data fusion. We explore how these elements converge to create a rich tapestry of information, laying the foundation for advanced data analysis and insights. Readers develop a deeper understanding of the critical role sensors play in collecting data, and how data fusion contributes to a more holistic view of the surrounding environment.

Chapter 5: Data Analysis, Statistical Modeling, and Model Development

In this concluding chapter, we shift our focus to the practical side of things. Chapter 5 guides readers through the essential steps in developing a smartphone application, covering data collection, data analysis, and statistical modeling. Readers gain hands-on insights into the process of bringing theory into practice. Readers are equipped with practical knowledge, having learned the necessary skills for developing a smartphone application, including effective data analysis and model development.

This course is a specialized application course for IoT systems combining data acquisition form the environment, machine learning, IoT hardware/software systems and everyday application. This course is coupled with the courses: Data Science and Machine Learning and Numerical Methods in Stochastic Processes, as well and with the courses regarding IoT system design: Design of Smart IoT Devices, System Design Concepts for the Internet of Things, Data Warehouse and Purpose-built Data and  Cloud computing and Cloud platforms.

Lectures, independent work on project tasks and preparation of seminar work.
Each student must complete a mandatory project assignment. The final grade is determined based on the total points from the project assignment and the final exam.

Regular attendance on lectures and consultations.