IoT Enabled Gesture-Controlled Home Automation for Disabled and Elderly

Kshirsagar, Smruti; Sachdev, Srushti; Singh, Navjyot; Tiwari, Anushka; Sahu, Sunita

doi:10.1109/iccmc48092.2020.iccmc-000152

Cited by 20 publications

(13 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The response of the people towards usage of these smart-systems also seems affirmative [50][51][52]57,71,72]. A study [62] showed improved medication adherence among subjects with use of used water sensors to monitor the usage of water to check maintenance of a healthy lifestyle.…”

Section: User Feedback Satisfaction and Effects Of Smart Homesmentioning

confidence: 99%

“…Moreover, wearables typically have a relatively short battery life, require maintenance, and cause discomfort over long usage if required to wear consistently throughout the day., may lead to allergic reactions, rashes [78]. Six studies [44,50,58,59,61,71] out of 31 used wearables in the form of body sensors, smartwatch, and monitors. Kshirsagar et al [50] proposed a wearable glove-based system, with embedded flexural sensors, microcontrollers and Bluetooth features.…”

Section: Application Of Environmental Sensors Wearables and Camerasmentioning

confidence: 99%

“…Six studies [44,50,58,59,61,71] out of 31 used wearables in the form of body sensors, smartwatch, and monitors. Kshirsagar et al [50] proposed a wearable glove-based system, with embedded flexural sensors, microcontrollers and Bluetooth features. The gesture generated signals which controlled various home appliances through a mobile application.…”

Section: Application Of Environmental Sensors Wearables and Camerasmentioning

confidence: 99%

See 2 more Smart Citations

Towards Privacy-Preserved Aging in Place: A Systematic Review

Gochoo

Alnajjar

Tan

et al. 2021

Sensors

View full text Add to dashboard Cite

Owing to progressive population aging, elderly people (aged 65 and above) face challenges in carrying out activities of daily living, while placement of the elderly in a care facility is expensive and mentally taxing for them. Thus, there is a need to develop their own homes into smart homes using new technologies. However, this raises concerns of privacy and data security for users since it can be handled remotely. Hence, with advancing technologies it is important to overcome this challenge using privacy-preserving and non-intrusive models. For this review, 235 articles were scanned from databases, out of which 31 articles pertaining to in-home technologies that assist the elderly in living independently were shortlisted for inclusion. They described the adoption of various methodologies like different sensor-based mechanisms, wearables, camera-based techniques, robots, and machine learning strategies to provide a safe and comfortable environment to the elderly. Recent innovations have rendered these technologies more unobtrusive and privacy-preserving with increasing use of environmental sensors and less use of cameras and other devices that may compromise the privacy of individuals. There is a need to develop a comprehensive system for smart homes which ensures patient safety, privacy, and data security; in addition, robots should be integrated with the existing sensor-based platforms to assist in carrying out daily activities and therapies as required.

show abstract

Section: User Feedback Satisfaction and Effects Of Smart Homesmentioning

confidence: 99%

Section: Application Of Environmental Sensors Wearables and Camerasmentioning

confidence: 99%

Section: Application Of Environmental Sensors Wearables and Camerasmentioning

confidence: 99%

See 1 more Smart Citation

Towards Privacy-Preserved Aging in Place: A Systematic Review

Gochoo

Alnajjar

Tan

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…This causes the system to react in an unusual way, making it hard to keep the user's eye position. Kshirsagar et al (Kshirsagar et al, 2020) presented a glove-based home automation system that identifies gestures and hence allows automatic device control. Simple movements may operate household gadgets while wearing the glove, which has band and flex sensors with an Arduino microprocessor and Bluetooth module.…”

Section: Eye and Flex Sensorsmentioning

confidence: 99%

Smart Homes for Disabled People: A Review Study

Ibrahim

Hassan

Ali

2022

SJUOZ

View full text Add to dashboard Cite

The field of smart homes has gained notable attention from both academia and industry. The majority of the work has been directed at regular users, and less attention has been placed on users with special needs, particularly those with mobility problems or quadriplegia. Brain computer interface has started the mission of helping people with special needs in smart homes by developing an environment that allows them to make more independent decisions. This study investigates the efforts made in the literature for smart homes that have been established to manage and control home components by disabled people and makes a comparison between the reviewed papers, in terms of the controlled devices, the central controller, the people with disabilities the system is meant for, whether or not machine learning was used in the system, and the system's command method. In the field of machine learning-based smart homes for disabled people, the limitations have been pointed out and talked about. Current challenges and possible future directions for further progress have also been given.

show abstract

“…These automated devices are able of transferring data from various devices to provide a solution [1]. Home automation means controlling electronic and electrical devices along with other manually operated things such as doors, and windows without human interaction [2]. Moreover, smart home (SH) technology does not simply turn devices on and off [3], it can monitor the internal environment and the activities that are being undertaken whilst the house is occupied.…”

Section: Introductionmentioning

confidence: 99%

IoT based smart fan controller and fire prevention in computer laboratory

2022

IJATEE

View full text Add to dashboard Cite

Computer laboratory plays the role of key elements with high interest for different categories of populations. Event of fire, smoke, heat, and water leakage when occurs could cause a big loss for business continuity. This paper presents a developed system for internet of things (IoT) based smart fan controller and fire prevention in the computer laboratory. The aim was to develop an automated computer laboratory that would control and monitor the computer laboratoryenvironment from the incident of fire, heat, smoke, and water leakage. The system was created using three nodes and a single database. The first node used a flame sensor which detects fire and activates a fire extinguisher automatically. The second node used a digital humidity and temperature sensor (DHT), along with an ultrasonic sensor, which was used to manage a fan controller and activate the controller when the temperature is high and a person is present. Thirdly, smoke and water sensors were used to detect the presence of smoke and water leakage. Microcontrollers, access points, and software are used to accomplish the development of this system. Different actions of warning users were done. Triggering buzzers and sending emails were done whereas fire, smoke, and water leakage are detected. The email was also sent to the users registered in the system when there was a temperature of more than 25.

show abstract

IoT Enabled Gesture-Controlled Home Automation for Disabled and Elderly

Cited by 20 publications

References 8 publications

Towards Privacy-Preserved Aging in Place: A Systematic Review

Towards Privacy-Preserved Aging in Place: A Systematic Review

Smart Homes for Disabled People: A Review Study

IoT based smart fan controller and fire prevention in computer laboratory

Contact Info

Product

Resources

About