IoT and ML based Smart Pill Dispenser (SPD) Application for Monitoring Elderly People

Vindhya Avvari; Sugandha Yarlagadda; Bethi Pardhasaradhi; R. Praneetha Sree; Y. V. Srinivasa Murthy

doi:10.1109/iSES58672.2023.00094

IoT and ML based Smart Pill Dispenser (SPD) Application for Monitoring Elderly People

Vindhya Avvari
, Sugandha Yarlagadda
, Bethi Pardhasaradhi
, R. Praneetha Sree
, Y. V. Srinivasa Murthy

Manipal Institute of Technology, Bengaluru

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

With the increase in health issues these days, a majority of the people are adhered to medication. There might be a chance that most of them may forget to take their medications as prescribed due to a variety of factors such as busy schedule, mental stress, health issues, and so on. As a result, it may take longer to recover from illness and origin for side effects as well, especially for elderly. Henceforth, it is necessary that the patient must take the relevant medications in the correct dosage and at the correct time. In this paper, an approach has been proposed using internet of things (loT) that guides the elderly people to take the proper medication on time. The proposed smart pill Dispenser (SPD) system is economical and effective. Also, a web application is integrated that collects the information about the diabetes and heart disease of each patient. Further, machine learning models are embedded in order to predict the chance of diabetes, heart stroke, and kidney disease for the patient. This would be economical and effective model to dispense the medicines on time to the elderly people.

Original language	English
Title of host publication	Proceedings - 2023 IEEE International Symposium on Smart Electronic Systems, iSES 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	421-424
Number of pages	4
ISBN (Electronic)	9798350383249
DOIs	https://doi.org/10.1109/iSES58672.2023.00094
Publication status	Published - 2023
Event	9th IEEE International Symposium on Smart Electronic Systems, iSES 2023 - Ahmedabad, India Duration: 18-12-2023 → 20-12-2023

Publication series

Name	Proceedings - 2023 IEEE International Symposium on Smart Electronic Systems, iSES 2023

Conference

Conference	9th IEEE International Symposium on Smart Electronic Systems, iSES 2023
Country/Territory	India
City	Ahmedabad
Period	18-12-23 → 20-12-23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Science Applications
Signal Processing
Electrical and Electronic Engineering
Safety, Risk, Reliability and Quality
Instrumentation

Access to Document

10.1109/iSES58672.2023.00094

Cite this

Avvari, V., Yarlagadda, S., Pardhasaradhi, B., Praneetha Sree, R., & Srinivasa Murthy, Y. V. (2023). IoT and ML based Smart Pill Dispenser (SPD) Application for Monitoring Elderly People. In Proceedings - 2023 IEEE International Symposium on Smart Electronic Systems, iSES 2023 (pp. 421-424). (Proceedings - 2023 IEEE International Symposium on Smart Electronic Systems, iSES 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/iSES58672.2023.00094

Avvari, Vindhya ; Yarlagadda, Sugandha ; Pardhasaradhi, Bethi et al. / IoT and ML based Smart Pill Dispenser (SPD) Application for Monitoring Elderly People. Proceedings - 2023 IEEE International Symposium on Smart Electronic Systems, iSES 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 421-424 (Proceedings - 2023 IEEE International Symposium on Smart Electronic Systems, iSES 2023).

@inproceedings{62fedc0eafdf4a5e864d3c00873ebf40,

title = "IoT and ML based Smart Pill Dispenser (SPD) Application for Monitoring Elderly People",

abstract = "With the increase in health issues these days, a majority of the people are adhered to medication. There might be a chance that most of them may forget to take their medications as prescribed due to a variety of factors such as busy schedule, mental stress, health issues, and so on. As a result, it may take longer to recover from illness and origin for side effects as well, especially for elderly. Henceforth, it is necessary that the patient must take the relevant medications in the correct dosage and at the correct time. In this paper, an approach has been proposed using internet of things (loT) that guides the elderly people to take the proper medication on time. The proposed smart pill Dispenser (SPD) system is economical and effective. Also, a web application is integrated that collects the information about the diabetes and heart disease of each patient. Further, machine learning models are embedded in order to predict the chance of diabetes, heart stroke, and kidney disease for the patient. This would be economical and effective model to dispense the medicines on time to the elderly people.",

author = "Vindhya Avvari and Sugandha Yarlagadda and Bethi Pardhasaradhi and \{Praneetha Sree\}, R. and \{Srinivasa Murthy\}, \{Y. V.\}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 9th IEEE International Symposium on Smart Electronic Systems, iSES 2023 ; Conference date: 18-12-2023 Through 20-12-2023",

year = "2023",

doi = "10.1109/iSES58672.2023.00094",

language = "English",

series = "Proceedings - 2023 IEEE International Symposium on Smart Electronic Systems, iSES 2023",

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Avvari, V, Yarlagadda, S, Pardhasaradhi, B, Praneetha Sree, R & Srinivasa Murthy, YV 2023, IoT and ML based Smart Pill Dispenser (SPD) Application for Monitoring Elderly People. in Proceedings - 2023 IEEE International Symposium on Smart Electronic Systems, iSES 2023. Proceedings - 2023 IEEE International Symposium on Smart Electronic Systems, iSES 2023, Institute of Electrical and Electronics Engineers Inc., pp. 421-424, 9th IEEE International Symposium on Smart Electronic Systems, iSES 2023, Ahmedabad, India, 18-12-23. https://doi.org/10.1109/iSES58672.2023.00094

IoT and ML based Smart Pill Dispenser (SPD) Application for Monitoring Elderly People. / Avvari, Vindhya; Yarlagadda, Sugandha; Pardhasaradhi, Bethi et al.
Proceedings - 2023 IEEE International Symposium on Smart Electronic Systems, iSES 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 421-424 (Proceedings - 2023 IEEE International Symposium on Smart Electronic Systems, iSES 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - IoT and ML based Smart Pill Dispenser (SPD) Application for Monitoring Elderly People

AU - Avvari, Vindhya

AU - Yarlagadda, Sugandha

AU - Pardhasaradhi, Bethi

AU - Praneetha Sree, R.

AU - Srinivasa Murthy, Y. V.

PY - 2023

Y1 - 2023

N2 - With the increase in health issues these days, a majority of the people are adhered to medication. There might be a chance that most of them may forget to take their medications as prescribed due to a variety of factors such as busy schedule, mental stress, health issues, and so on. As a result, it may take longer to recover from illness and origin for side effects as well, especially for elderly. Henceforth, it is necessary that the patient must take the relevant medications in the correct dosage and at the correct time. In this paper, an approach has been proposed using internet of things (loT) that guides the elderly people to take the proper medication on time. The proposed smart pill Dispenser (SPD) system is economical and effective. Also, a web application is integrated that collects the information about the diabetes and heart disease of each patient. Further, machine learning models are embedded in order to predict the chance of diabetes, heart stroke, and kidney disease for the patient. This would be economical and effective model to dispense the medicines on time to the elderly people.

AB - With the increase in health issues these days, a majority of the people are adhered to medication. There might be a chance that most of them may forget to take their medications as prescribed due to a variety of factors such as busy schedule, mental stress, health issues, and so on. As a result, it may take longer to recover from illness and origin for side effects as well, especially for elderly. Henceforth, it is necessary that the patient must take the relevant medications in the correct dosage and at the correct time. In this paper, an approach has been proposed using internet of things (loT) that guides the elderly people to take the proper medication on time. The proposed smart pill Dispenser (SPD) system is economical and effective. Also, a web application is integrated that collects the information about the diabetes and heart disease of each patient. Further, machine learning models are embedded in order to predict the chance of diabetes, heart stroke, and kidney disease for the patient. This would be economical and effective model to dispense the medicines on time to the elderly people.

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M3 - Conference contribution

AN - SCOPUS:85190095131

T3 - Proceedings - 2023 IEEE International Symposium on Smart Electronic Systems, iSES 2023

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BT - Proceedings - 2023 IEEE International Symposium on Smart Electronic Systems, iSES 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 9th IEEE International Symposium on Smart Electronic Systems, iSES 2023

Y2 - 18 December 2023 through 20 December 2023

ER -

Avvari V, Yarlagadda S, Pardhasaradhi B, Praneetha Sree R, Srinivasa Murthy YV. IoT and ML based Smart Pill Dispenser (SPD) Application for Monitoring Elderly People. In Proceedings - 2023 IEEE International Symposium on Smart Electronic Systems, iSES 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 421-424. (Proceedings - 2023 IEEE International Symposium on Smart Electronic Systems, iSES 2023). doi: 10.1109/iSES58672.2023.00094

IoT and ML based Smart Pill Dispenser (SPD) Application for Monitoring Elderly People

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

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