IoT-Based Monitorization and Caliber Checker With Multiple Decision Making Using Faster R-CNN and Kalman Filter for Visually Impaired Elders: IoT-Based Old Age Health Monitoring

IoT-Based Monitorization and Caliber Checker With Multiple Decision Making Using Faster R-CNN and Kalman Filter for Visually Impaired Elders: IoT-Based Old Age Health Monitoring

Copyright: © 2024 |Pages: 20
DOI: 10.4018/979-8-3693-1463-0.ch009
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Abstract

In the field of healthcare, the internet of things (IoT) plays a crucial role in prediction, multiple decision-making, and alarm systems. The highest rate of death among the elderly is greater than 60%. Due to numerous COVID-19 facts, 70 percent of the overall population in India is afflicted, up from 50 percent. Around 48 percent of the elderly are plagued by the disease in Tamil Nadu, India. In tropical countries like India, handling pandemic situations is very new, and people here aren't prepared to deal with the circumstances. This chapter aims to assist in the monitoring of senior citizens in their homes rather than in hospitals. It is used to monitor their health difficulties, such as blood pressure, temperature, diabetes, a range of cardiac problems, and collapsing. Not only the health-related problems The R-CNN algorithm aids in making various decisions based on IoT data It may predict the situation and make decisions based on a variety of parameters and criteria. As a result of the essential alert to the doctor and caretaker for making the suitable decision
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Scope Of The Proposed Work

This chapter particularly focuses on monitoring elderly people, irrespective of their surroundings, using a smart stick. The key problem of our discussion is about monitoring and keeping track of elderly people with vision impairments using fewer IOT devices and increasing the accuracy of result prediction. The primary reason for selecting vision impairment in elders is that every one in four elders suffers from vision impairment, which leads to loss of independence, depression, an increased risk of falling, and an increased risk of mortality. This cheaper proposes smart stick for a vision impairment elder utilizing Faster R-CNN and kalman filtering techniques to monitor and check caliber of the person.

Factors for vision impairment in elderly people: The primary factors that affect the vision of elderly people are age-related macular degeneration (AMD), glaucoma, cataracts, diabetic retinopathy, etc. Vision loss can lead to depression and anxiety, and these psychological factors can further exacerbate problems in vision (Kupper, and Fuhlbrigge, 2004). By the age of 65, one out of every three people has some sort of vision-impairing eye condition (Bickers, D.R.; Athar, M. Oxidative, 2006). The following lists some major conditions that contribute to major factor for loss of vision in older people:

Key Terms in this Chapter

Sphygmomanometer: A sphygmomanometer is a medical device utilized to measure blood pressure. It comprises an inflatable rubber cuff placed around the upper arm and linked to a device that typically records pressure, often indicated by the height of a mercury column or shown on a dial.

Alzheimer: It's a condition characterized by a progressive decline in memory, speech, mobility, and cognitive function, and it predominantly affects the elderly population.

Tremor: Tremor is a neurological disorder characterized by shaking or trembling movements in one or more areas of the body, most often the hands. It can also manifest itself in the arms, legs, head, voice chords, and chest.

Parkinson's Disease: Parkinson's disease (PD) is classified as a movement disorder resulting from insufficient dopamine production by brain nerve cells. While genetics can be a factor in some instances, the majority of cases do not exhibit a familial pattern. There is a potential association with environmental chemical exposure.

Dementia: It is a condition marked by an ongoing and severe decline in cognitive abilities, with symptoms like memory deterioration, confusion, and emotional instability. This condition is caused by the loss or damage of neurons in the brain.

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