Modular home automation software with uniform cross component interaction based on services

Lazarević, Ivan; Sekulic, Milan; Savic, Milan; Mihic, Velibor

doi:10.1109/icce-berlin.2015.7391281

Cited by 10 publications

(4 citation statements)

References 3 publications

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“…A variety of smart home systems for assisted living environments have been proposed and developed, but there are, in fact, few homes that apply smart technologies. One of the main reasons for this is the complexity and varied design requirements associated with different domains of the home, which are communication [ 89 , 90 , 91 , 92 , 93 , 94 , 95 ], control [ 96 , 97 , 98 , 99 , 100 , 101 , 102 , 103 , 104 , 105 , 106 , 107 , 108 , 109 , 110 ], monitoring [ 111 , 112 , 113 , 114 , 115 , 116 ], entertainment [ 117 , 118 , 119 , 120 ], and residential and living spaces [ 121 , 122 ].…”

Section: Related Workmentioning

confidence: 99%

A Human–Machine Interface Based on Eye Tracking for Controlling and Monitoring a Smart Home Using the Internet of Things

Bissoli

Lavino-Júnior

Sime

et al. 2019

Sensors

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People with severe disabilities may have difficulties when interacting with their home devices due to the limitations inherent to their disability. Simple home activities may even be impossible for this group of people. Although much work has been devoted to proposing new assistive technologies to improve the lives of people with disabilities, some studies have found that the abandonment of such technologies is quite high. This work presents a new assistive system based on eye tracking for controlling and monitoring a smart home, based on the Internet of Things, which was developed following concepts of user-centered design and usability. With this system, a person with severe disabilities was able to control everyday equipment in her residence, such as lamps, television, fan, and radio. In addition, her caregiver was able to monitor remotely, by Internet, her use of the system in real time. Additionally, the user interface developed here has some functionalities that allowed improving the usability of the system as a whole. The experiments were divided into two steps. In the first step, the assistive system was assembled in an actual home where tests were conducted with 29 participants without disabilities. In the second step, the system was tested with online monitoring for seven days by a person with severe disability (end-user), in her own home, not only to increase convenience and comfort, but also so that the system could be tested where it would in fact be used. At the end of both steps, all the participants answered the System Usability Scale (SUS) questionnaire, which showed that both the group of participants without disabilities and the person with severe disabilities evaluated the assistive system with mean scores of 89.9 and 92.5, respectively.

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Section: Related Workmentioning

confidence: 99%

A Human–Machine Interface Based on Eye Tracking for Controlling and Monitoring a Smart Home Using the Internet of Things

Bissoli

Lavino-Júnior

Sime

et al. 2019

Sensors

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“…The proposed protocol was implemented within the existing smart home hub that already serves as the gateway between Zigbee, Z-Wave, and IP protocols [6], [16], [17]. The hub supports both WiFi and Ethernet connections, and it already uses MQTT protocol to communicate with the cloud and mobile applications.…”

Section: Methodsmentioning

confidence: 99%

“…is integrated into the existing smart home hub[6] and prototype devices. For the device vendors, a Software Development Kit (SDK) is created to allow developers to easily create WISE compatible devices.…”

mentioning

confidence: 99%

WISE: MQTT-based Protocol for IP Device Provisioning and Abstraction in IoT Solutions

Papp

Pavlovic²,

Antić

2021

ELEKTRON ELEKTROTECH

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Although numerous consumer devices use Transmission Control Protocol/Internet Protocol (TCP/IP) protocol stack to connect and communicate over the Internet, their integration into a single Internet of Things (IoT) solution represents a challenge, primarily due to the lack of the standardized interoperability framework on the application layer. Devices produced by different manufacturers cannot operate together out of the box, thus raising the cost of system setup and maintenance. In this paper, a novel protocol is proposed that aims to bridge this gap. It is based on Message Queuing Telemetry Transport (MQTT) protocol and allows the seamless integration of different kinds of IP devices into the connected system. The proposed protocol is complete as it covers the aspects of device discovery and association in the IoT network. It provides mechanisms for IoT network maintenance and defines the abstract device model and communication patterns to enable system-wide device interoperability. The other goal of the protocol is to be portable to resource-constrained platforms. To validate the proposed protocol, it was integrated into the existing smart home hub, and for testing and validation purposes, prototype devices were developed.

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“…However, these commands can also be automated by the set of the predefined rules. Rule execution can be triggered by the activation of other device in the system [4]. For example, the user could create a rule which would turn on lights when the motion in the room is detected.…”

Section: Introductionmentioning

confidence: 99%

Using online third party geolocation services to improve smart home user experience

Matic

Tucic²,

Antić

et al. 2020

Serb J Electr Eng

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This paper presents one approach to improve smart home user experience, by providing location-based services. Within the cloud of the existing smart home solution, the geolocation micro-service is first implemented. This micro-service communicates with third party online geolocation service to obtain latitude and longitude values from physical address and vice versa. The geolocation micro-service is used by different services to provide location-based experience. For example, weather micro-service uses the geolocation information, to provide weather content, while the traffic service monitors traffic conditions in the vicinity of the household. This information can be used to setup different automation rules in the system.

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Modular home automation software with uniform cross component interaction based on services

Cited by 10 publications

References 3 publications

A Human–Machine Interface Based on Eye Tracking for Controlling and Monitoring a Smart Home Using the Internet of Things

A Human–Machine Interface Based on Eye Tracking for Controlling and Monitoring a Smart Home Using the Internet of Things

WISE: MQTT-based Protocol for IP Device Provisioning and Abstraction in IoT Solutions

Using online third party geolocation services to improve smart home user experience

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