Abstract
Cognitive Internet of Things (CIoT) is the next leap towards enhancing the accuracy and effectiveness of Internet of Things (IoT) technology used in combination with cognitive computing that has a significant role in healthcare and diseases diagnosis. The work in this paper proposes a system to diagnose the sensitivity toward sound and light by developing a mechanism based on facial emotions recognition system that integrate with IoT protocols and cloud computing. The proposed system was achieved by establishing a cognitive IoT environment composed of hardware and software components that practically implemented in a laboratory to identify the behavior of people suffering from sensitivity toward sound and light. This behavior was observed by monitoring human face emotions through a live video capturing using camera and image processing using facial emotion recognition software. Emotions values obtained was examined and collected in a cloud using (MQTT) protocol. These emotions were classified as normal and abnormal. Normal state give the impression that the surrounding environment is appropriate for people senses and they do not suffer from any discomfort, therefore the system works on a mechanism to increase the intensities of sound or light in this environment and vice versa.
Highlights
The information and communication industry has a great stride in recent years by integration with the Internet of Things (IoT)
The integration of IoT systems should be flexible and intelligent, to continuously receive and process data in a timely manner. These IoT- based systems implemented in real-time, requiring a high level of coordination management processes and the interaction that humans learn from their intelligence and supply very exact analysis [1]
Cognitive Internet of Things" (CIoT) referred as an IoT system that integrates aspects of human cognitive feature processes in system style to attain ’varying levels of autonomy in perception, analysis, and action supporting self- x capabilities as well as learning, re-configuration, resilience, optimization, and management with adequate human- machine context awareness [2]
Summary
The information and communication industry has a great stride in recent years by integration with the Internet of Things (IoT). Understand, involves extracting information by analyzing, interpreting and representing sensor data in a structured way This is followed by a process of decision- making to arrive at answers and actions to be taken based on the information collected. MQTT is a shortened form of (Message Queuing Telemetry Transport), this protocol running on top of the TCP / IP stack It is low weight, simple, data-centric and intended for resource-restricted systems such as IoT devices [5]. It could be a device connected to resources such as a sensor, a backend server or a graphical client capable of communicating with MQTT It is the broker’s responsibility to receive all published and subscribed messages, filter those messages and decide on the appropriate subscribers to send the message. All that is sent by the publisher and received by the subscriber have to go through the broker [6]
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