Browsing by Author "Yousuff, S."

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A Multi-Protocol Home Automation System Using Smart Gateway
(Springer, 2021) Chaudhary, S.K.; Yousuff, S.; Meghana, N.P.; Ashwin, T.S.; Guddeti, R.M.R.
Smart Home is one of the most established applications of the Internet of Things. Almost every equipment we use in our daily life—appliances, electric lights, electrical outlets, heating, and cooling systems-connected to a remotely controllable network, giving the user’s ability to remotely control and monitor the house, save energy without compromising on comfort and ultimately improve the quality of experience of staying in the house. We present a cost-effective system and address a major challenge that the industry faces today-Protocol Compatibility. To address the challenge, we make use of separate gateways/bridges for each network and an open-source home automation framework called OpenHAB, where each bridge links with a single master Wi-Fi gateway, providing a single window of control through an Application or a web interface for an integrated Smart Home. We integrate an elderly health monitoring device-Beehealth with OpenHAB; addressing the paramount need of a portable, accurate, and efficient health monitoring and fall detection device. We present two methods for fall detection, namely: threshold-based and Neural Network-based, with the latter resulting in 94% accuracy for fall detection. We evaluate the Smart Home devices on parameters like syncing time, battery life, recharge time, deployability, and cost. © 2020, Springer Science+Business Media, LLC, part of Springer Nature.
Smart parking - An integrated solution for an urban setting
(Institute of Electrical and Electronics Engineers Inc., 2017) Dsouza, K.B.; Yousuff, S.
Parking could become a nightmare on a busy day, in a city like Delhi (India), which has about 7.35 million cars, as per MORTH Barclays Research (2012). An average of seventeen minutes and considerable amount of fuel is wasted in an effort to find a parking spot every time. Additional stress is induced due to parking hassles starting from finding an empty parking spot to relocating the car later. We propose a system leveraging the latest technologies that will help motorists overcome their parking problems and at the same time, make managing a parking space easier and cost effective by automating the entire process right from pre-booking a parking slot to making the payment. Since most of the parking spaces are equipped with CCTV surveillance cameras, we intend to use them to detect the presence of cars and measure the availability of parking spots within a parking space using techniques like image processing and machine learning. In order to test the performance of the proposed system, a prototype of the system is built that mimics the working of an actual parking space excluding minute details. A prototype of the application is built that would aid the user in booking the slot and guide him/her back to the allocated parking slot. The proposed system is compared with the existing systems and the results show superiority of the proposed system in terms of parameters like reliability, scalability and installation cost. Â© 2017 IEEE.
Zigbee-based wearable device for elderly health monitoring with fall detection
(2018) Yousuff, S.; Chaudary, S.K.; Meghana, N.P.; Ashwin, T.S.; Ram Mohana Reddy, Guddeti
Health monitoring devices have flooded the market. But there are very few that cater specifically to the needs of elderly people. Continuously monitoring some critical health parameters like heart rate, body temperature can be lifesaving when the elderly is not physically monitored by a caretaker. An important difference between a general health tracking device and one meant specifically for the elderly is the pressing need in the latter to be able to detect a fall. In case of an elderly person or a critical patient, an unexpected fall, if not attended to within a very short time span, can lead to disastrous consequences including death. We present a solution in the form of a wearable device which, along with monitoring the critical health parameters of the elderly person, can also detect an event of a fall and alert the caretaker. We make use of a 3-axis accelerometer embedded into the wearable to collect acceleration data from the movements of the elderly. We have presented two algorithms for fall detections�one based on a threshold and the other based on a neural network and provided a detailed comparison of the two in terms of accuracy, performance, and robustness. � Springer Nature Singapore Pte Ltd. 2018.
Zigbee-based wearable device for elderly health monitoring with fall detection
(Springer Verlag, 2018) Yousuff, S.; Chaudary, S.K.; Meghana, N.P.; Ashwin, T.S.; Guddeti, G.
Health monitoring devices have flooded the market. But there are very few that cater specifically to the needs of elderly people. Continuously monitoring some critical health parameters like heart rate, body temperature can be lifesaving when the elderly is not physically monitored by a caretaker. An important difference between a general health tracking device and one meant specifically for the elderly is the pressing need in the latter to be able to detect a fall. In case of an elderly person or a critical patient, an unexpected fall, if not attended to within a very short time span, can lead to disastrous consequences including death. We present a solution in the form of a wearable device which, along with monitoring the critical health parameters of the elderly person, can also detect an event of a fall and alert the caretaker. We make use of a 3-axis accelerometer embedded into the wearable to collect acceleration data from the movements of the elderly. We have presented two algorithms for fall detectionsâ€”one based on a threshold and the other based on a neural network and provided a detailed comparison of the two in terms of accuracy, performance, and robustness. Â© Springer Nature Singapore Pte Ltd. 2018.