Cognitive Sensing Technologies and Applications

Cognitive sensing systems combined with IoTs and smart technologies are used in various real-time applications, such as industrial robotics, computer-aided diagnosis, brain-computer interface, human-computer interaction, telemedicine, driverless cars, and smart energy systems. This book highlights the emerging role of cognitive sensors in these applications, covering smart health, smart cities, smart transportation, and smart agriculture. It is suitable for researchers in smart sensing, signal processing, automation, robotics, environmental engineering, energy engineering, biomedical engineering, and allied disciplines.

Format: Hardback
Length: 502 pages
Publication date: 22 August 2023
Publisher: Institution of Engineering and Technology

Cognitive sensing systems, in conjunction with IoTs and advanced technologies, find extensive applications across a multitude of fields. These include industrial robotics, computer-aided diagnosis, brain-computer interface (BCI), human-computer interaction (HCI), telemedicine, driverless cars, and smart energy systems. This comprehensive book, brought to you by a diverse international team of experts from various research domains, including sensing, computer vision, signal processing, and device and control applications, underscores the growing significance of cognitive sensors in real-time applications such as smart health, smart cities, smart transportation, and smart agriculture. The volume caters to a wide audience of researchers, including those specializing in smart sensing, signal processing, automation, robotics, environmental engineering, energy engineering, biomedical engineering, and related disciplines where smart sensors are an integral part of their curriculum.

The integration of cognitive sensing systems with IoTs and smart technologies has opened up a vast array of possibilities. These systems enable the collection and analysis of sensory data in real-time, providing valuable insights into various aspects of our lives. In the realm of industrial robotics, cognitive sensing systems enhance the efficiency and precision of robots by enabling them to perceive and interpret their environment more accurately. They can detect objects, recognize patterns, and make decisions based on sensory information, leading to improved performance and increased productivity.

Computer-aided diagnosis, another area where cognitive sensing systems play a pivotal role, involves the use of artificial intelligence and machine learning algorithms to analyze medical images and diagnose diseases. These systems can help healthcare professionals make faster and more accurate diagnoses, leading to better patient outcomes. Brain-computer interface (BCI) enables direct communication between the brain and external devices, allowing individuals to control computers, prosthetics, or other devices with their thoughts. This technology has the potential to revolutionize the field of rehabilitation and assistive technology, enabling people with disabilities to regain their independence.

Human-computer interaction (HCI) focuses on designing interfaces that are intuitive, user-friendly, and responsive to human needs. Cognitive sensing systems play a crucial role in HCI by providing real-time feedback on user behavior and emotions. This information can be used to optimize the design of interfaces and improve the overall user experience. Telemedicine, another application of cognitive sensing systems, enables remote healthcare delivery through the use of wearable devices and other sensors. These systems can monitor vital signs, track patient health, and provide medical advice to patients in real-time, regardless of their location.

Driverless cars, another exciting application of cognitive sensing systems, rely on a combination of cameras, sensors, and artificial intelligence to navigate roads and make decisions without human intervention. These systems can detect obstacles, pedestrians, and other vehicles, and respond accordingly, reducing the risk of accidents and improving traffic flow. Smart energy systems, on the other hand, utilize cognitive sensing systems to optimize energy consumption and reduce waste. These systems can monitor energy usage, predict demand, and adjust energy production accordingly, leading to more efficient and sustainable energy production.

In conclusion, cognitive sensing systems, in conjunction with IoTs and advanced technologies, have the potential to transform various industries and improve our quality of life. From industrial robotics to healthcare, from transportation to energy, these systems offer a wide range of applications that can enhance efficiency, accuracy, and sustainability. As the field of cognitive sensing continues to evolve, we can expect to see even more innovative and groundbreaking applications emerge in the years to come.

Weight: 922g
Dimension: 164 x 242 x 36 (mm)
ISBN-13: 9781839536892