Description
Project Proposals for ( Home Camera-Based Fall Detection System using Supervise Machine Learning Model for the Elderly)
Project Description: Brief summary including the research problem, provide background of the problem and its significance, describe key points/main issues and explain the scope (deliverable and non-deliverables of the project).
Literature Review: A literature review represents a study of current research/study on the topic of the project. This includes 1. Existing theories about the project idea, which are accepted universally?
2. Books written on the topic, both generic and specific.
3. Research done in the field usually in the order of oldest to latest.
4. Challenges being faced and ongoing work, if available. A literature review in a project proposal is that section which shows the various analyses and research made in the field of your interest and the results already published, taking into account the various parameters of the project and the extent of the project. It is the most important part of Project proposal/report as it gives a direction in the area of selected project idea and latest research work on that concept. When you write a literature review in respect of your project idea, you have to write the research work done by various researchers - their methodology (abstract) and the conclusions they have arrived at. You should also give an idea on how this research work has impacted your project work. A literature review must contain at least 7 - 10 published research work and comparative analysis with respect to selected project idea.
Aim and Objective: Aim and Objectives (Minimum 2) of the Project Your research aim is the answer to the question: ‘What are you doing?
1. You are required to clearly describe what your intentions are and what you hope to achieve.
2. Your aim may be to test theory in a new empirical setting, derive new theory entirely, construct a new data-set, replicate an existing study, question existing orthodoxy, and so on. Whatever they are, clearly articulate them. Mention aim of project in introduction and abstract part of final project report.
Method: What Machine Learning Techniques are you planning to apply or improve upon? Method section explains what you did and how you did it, to evaluate the reliability and validity of your research. It should include:
1. The type of research you completed
2. How you collected and/or selected your data
3. How you analysed your data
4. Any tools used in the research work
5. Your rationale for choosing these methods
Intended Experiments: What experiments are you planning to run? How do you plan to evaluate your Machine-Learning Algorithm?
References
Explanation & Answer
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Running Head: PROJECT PROPOSAL
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Project Proposal
Student’s Name:
Institutional Affiliation:
PROJECT PROPOSAL
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Home Camera-Based Fall Detection System using Supervise Machine Learning Model for the
Elderly
Research Problem
Healthcare organizations have identified falls are the primary cause of injury in older
adults. Falls also cause death in older adults. Many healthcare organizations have come up with
various ways to prevent injuries and fatalities caused by falls. One of the best approaches used in
healthcare is a home camera-based fall detection system that reduces cases of falls in elderly
individuals. Thus, the primary purpose is to explore the use of a home camera-based fall
detection system via the Supervised Machine Learning Model for older people.
Background of the Problem
Camera-based fall detection system has been implemented in many healthcare facilities
to minimize injuries and deaths. Most of the older adults in society require close caregiving
services because they are predisposed to many health conditions. Most of the fall detectors are
utilized through wearable devices to assist older adults in seeking healthcare services in
hospitals. However, the majority of elderly individuals forget to wear fall detectors, limiting their
full utilization in healthcare settings (Ma et al., 2014). Moreover, fall detectors work well on
artificial vision. Unfortunately, very few fall detectors with artificial vision are available in the
market.
Significance of the Project
Despite the challenges older adults face when using fall detectors, modern technology has
resulted in the innovation of a home camera-based fall detection system that utilizes supervised
machine learning models. The new detection model is useful in healthcare due to its low-cost and
PROJECT PROPOSAL
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ability to use artificial vision algorithms. Thus, the fall detector can be used to protect older
adults from injuries from falls using several algorithms.
The Scope of the Project
The research will explore how the integration of machine learning algorithms can be used
to create a home camera-based fall detection that can benefit elderly individuals. The project
aims to accommodate technologies used in developing fall detectors to assist elderly patients
who fail to wear sensor devices. The increase in the number of older adults with dementia has
made other fall detectors ineffectively because they forget to wear them. In that regard, the
project aims to consider how the utilization of machine learning algorithms in elderly patients
can improve safety, comfort, and independence (Ma et al., 2014). Moreover, it will prevent stress
and depression among elderly individuals. The project will also focus on how the new fall
detector will free caregivers from the routine duties of assisting elderly individuals from falling.
Thus, the technology used in developing fall detectors will be fundamental in enhancing safety
of older indivuduals.
Literatur...
Review
Review
