Description
Book SynopsisCognitive sensing systems combined with IoTs and smart technologies are used in countless applications such as industrial robotics, computer-aided diagnosis, brain-computer interface (BCI), human-computer interaction (HCI), telemedicine, driverless cars and smart energy systems.
With contributions from an international team of experts from a wide range of research areas including sensing, computer vision, signal processing and device and control applications, this book highlights the emerging role of cognitive sensors in a growing number of real time applications including smart health, smart cities, smart transportation and smart agriculture.
The volume will be suitable for a broad audience of researchers in the fields of smart sensing, signal processing, automation and robotics, environmental engineering, energy engineering, biomedical engineering and allied disciplines where smart sensors are part of the curriculum.
Table of Contents
- Chapter 1: Introduction to cognitive sensing technologies and applications
- Chapter 2: Hardware architectures for some sparse signal recovery approaches
- Chapter 3: Performance evaluation of cognitive sensor frameworks for IoT applications in healthcare and environment monitoring
- Chapter 4: Cognitive sensors for rehabilitation and therapeutic treatment
- Chapter 5: An ensemble machine learning-based intelligent system for human activity recognition using sensory data
- Chapter 6: Challenges in the acquisition of non-invasive brain signals - electroencephalographic signals (EEG)
- Chapter 7: Cognitive task and workload classification using EEG signal
- Chapter 8: Automatic detection of Parkinson's disease using non-linear signal decomposition and machine learning techniques
- Chapter 9: A review on gait kinematics acquisition sensors and its advancements in IoT and machine learning
- Chapter 10: Cognitive IoT sensors for smart industrial and biomedical applications
- Chapter 11: Intelligent automation using IoT and machine learning
- Chapter 12: Recent trends in applications of cognitive sensors for smart manufacturing and control
- Chapter 13: A systematic study on cognitive sensors in robotics, UAVs, and drones
- Chapter 14: Sensor data fusion and processing in smart agriculture: crop quality assessment, crop damage, smart planning
- Chapter 15: Incremental learning of plant diseases and new plant types: moving towards a smart agriculture system
- Chapter 16: Disaster susceptibility analysis in remote sensing
- Chapter 17: Topological assessment of road transportation network
- Chapter 18: Future perspective and research direction in cognitive sensing technologies
