The development of IoT-based non-obstructive monitoring system for human's sleep monitoring

Siyang, Satetha; Lokavee, Shongpun; Kerdcharoen, Teerakiat

doi:10.1109/icce-tw46550.2019.8991764

Cited by 11 publications

(7 citation statements)

References 3 publications

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“…The primary equipment used for sleep monitoring is imaging technology , such as Kinect [ 3 ], an RGB camera [ 12 ], a thermal imaging camera [ 9 , 11 ], a pillow with built-in force sensitive resistor (FSR) sensors [ 19 , 20 ], and sensors attached to the arm or stomach (wrist sensor [ 10 , 15 , 21 ], flexible belt [ 17 ]). Several studies have also employed transmission methods (wireless fidelity [Wi-Fi] [ 19 ] and ultrawide band [UWB] [ 18 ]).…”

Section: Related Workmentioning

confidence: 99%

“…However, in the proposed system, the depth sensor does not work if a blanket is covering the human body. Liu et al [ 19 ] proposed Wi-Sleep, a sleep monitoring system based on Wi-Fi signals, which continuously collects fine-grained wireless channel state information (CSI) around a person. From the CSI, it extracts rhythmic patterns associated with respiration and abrupt changes due to body movements.…”

Section: Related Workmentioning

confidence: 99%

“…Li et al [ 16 ] proposed a method of using simple signals, such as heart and respiration rates, and integrated prior knowledge of experts to simplify the feature extraction process, thereby enabling the subsequent classifier to easily distinguish between the waking and sleep states. Siyang et al [ 19 ] developed an Internet of Things (IoT) solution to monitor sleep based on a data pillow system. They installed FSRs under the pillow to collect breathing data, reporting that the IoT data pillow can detect breathing signal differences among normal respiration, hypopnea, and apnea.…”

Section: Related Workmentioning

confidence: 99%

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Sleep Pattern Analysis in Unconstrained and Unconscious State

Jun

Kim

Hong

2022

Sensors

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Sleep accounts for one-third of an individual’s life and is a measure of health. Both sleep time and quality are essential, and a person requires sound sleep to stay healthy. Generally, sleep patterns are influenced by genetic factors and differ among people. Therefore, analyzing whether individual sleep patterns guarantee sufficient sleep is necessary. Here, we aimed to acquire information regarding the sleep status of individuals in an unconstrained and unconscious state to consequently classify the sleep state. Accordingly, we collected data associated with the sleep status of individuals, such as frequency of tosses and turns, snoring, and body temperature, as well as environmental data, such as room temperature, humidity, illuminance, carbon dioxide concentration, and ambient noise. The sleep state was classified into two stages: nonrapid eye movement and rapid eye movement sleep, rather than the general four stages. Furthermore, to verify the validity of the sleep state classifications, we compared them with heart rate.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Sleep Pattern Analysis in Unconstrained and Unconscious State

Jun

Kim

Hong

2022

Sensors

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“…This evolution represents a shift toward a digitally-driven industrial landscape, contributing to the increasing popularity of the Internet of Things (IoT). The widespread adoption of the IoT has permeated a wide array of application domains, including smart grids [2], medical systems [3], wearable devices [4], agriculture [5], industrial automation [6], [7], among others.…”

Section: Introductionmentioning

confidence: 99%

A Scalable Real-Time SDN-Based MQTT Framework for Industrial Applications

Shahri,

Pedreiras,

Almeida

2024

IEEE Open J. Ind. Electron. Soc.

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The increasing prominence of concepts such as Smart Production and Industrial Internet of Things (IIoT) within the context of Industry 4.0 has introduced a new set of requirements for the engineering of industrial systems, including support for dynamic environments, timeliness guarantees, support for heterogeneity, interoperability and reliability. These requirements are further exacerbated at the network level by the notable rise in the number and variety of devices involved. To stay competitive in this ever-changing industrial landscape while boosting productivity, it is vital to meet those requirements, combining established protocols with emerging technologies. Software-Defined Networking (SDN) is the forefront traffic management paradigm that offers flexibility for complex industrial networks, enabling efficient resource allocation and dynamic reconfiguration. Message Queuing Telemetry Transport (MQTT) is a low-overhead protocol of the application layer that is gaining popularity in the scope of the IoT and IIoT. However, its Quality-of-Service (QoS) policies do not support timeliness requirements. This paper presents a framework that seamlessly integrates SDN and MQTT, enhancing network management flexibility while satisfying real-time requirements found in industrial environments. It leverages the User Properties of MQTTv5 to allow specifying real-time requirements. MQTT traffic is intercepted by a Network Manager that extracts real-time information and instructs an SDN controller to deploy corresponding network reservations. MQTT traffic across multiple edge networks is propagated by selected brokers using multicasting. Extensive emulation experiments validate the effectiveness of the proposed approach, demonstrating its superiority over MQTT and Direct Multicast-MQTT (DM-MQTT) in latency reduction. Additionally, a response time analysis is provided and validated experimentally, emphasizing the robust performance of the proposed approach across distinct metrics.

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“…The promise for massive and unprecedented integration of digital devices without requiring explicit human intervention is making the Internet of Things (IoT) increasingly popular. Nowadays, the IoT spans vast application domains, from smart grids [1] to industry automation [2] [3], medical systems [4], wearable devices [5] and agriculture [6], to name just a few. Within the industrial arena, the so-called Industrial IoT (IIoT) is one of the pillars of the ongoing revolution towards massive digitalization, also known as Industry 4.0.…”

Section: Introductionmentioning

confidence: 99%

Enhancing MQTT with Real-Time and Reliable Communication Services

Shahri

Pedreiras

Almeida

2021

2021 IEEE 19th International Conference on Industrial Informatics (INDIN)

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MQTT is an application-layer protocol that eventually became popular in the Internet of Things (IoT) and Industrial IoT (IIoT) thanks to its simplicity and effective publisher-subscriber messaging model that enables its use in embedded resource-constrained devices. However, MQTT features a limited set of Quality-of-Service classes addressing exclusively message delivery, impairing its use in IIoT applications subject to timeliness requirements. This limitation of MQTT has been addressed in the literature, but with focus on the broker real-time operation, only. This paper adds to the state-of-the-art, by proposing a set of extensions to the MQTT protocol grounded on Software-Defined Networking (SDN) that enable, at the network level, attaining real-time communication services. Simulation results validate the benefits of the proposed extensions.

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The development of IoT-based non-obstructive monitoring system for human's sleep monitoring

Cited by 11 publications

References 3 publications

Sleep Pattern Analysis in Unconstrained and Unconscious State

Sleep Pattern Analysis in Unconstrained and Unconscious State

A Scalable Real-Time SDN-Based MQTT Framework for Industrial Applications

Enhancing MQTT with Real-Time and Reliable Communication Services

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