I am writing a project proposal for seed funding for an engineering project. The project proposal should include the part Executive Summary, Introduction, Goal and Objectives, Current Situation, Product Overview, Technical Description, Benefits, Project Team, Schedule, Budget, Conclusion and References. This proposal should be written for non-expert target funders. Specifically, I am writing the Executive Summary. My project is named “Waveguard”, 

The structure of the Executive Summary part:"

-Appealing opening
-Understand the current situation
- Solution
-Authority
-Call to action
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My Introduction, Goal and Objectives, Current Situation, Product Overview, Technical Description, Benefits, Project Team and Conclusion part :
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Introduction
The ageing demographic in Hong Kong poses unique challenges as the number of individuals over 65 has surpassed 1.45 million in 2021 [1]. This shift raises safety concerns, particularly the risk of falls, which, as reported by the Department of Health’s Unintentional Injury Survey 2018, represent a significant 39.4% of unintentional injuries among the elderly [2]. Often living alone, these individuals are vulnerable to accidents that can remain unnoticed for extended periods, emphasizing the need for prompt detection. Furthermore, roughly 70% of this elderly cohort battles chronic diseases like diabetes and hypertension [3], necessitating constant health monitoring.

Given these facts, the consequences are severe: increased duration of hospital stays, a decline in quality of life, and greater economic pressure on families and the healthcare system. Therefore, timely intervention is critical in elderly care to maintain our commitment to both compassion and life preservation. Waveguard detects motions and vital signs such as respiration and heart rate without compromising privacy or accuracy. Coupled with a communication system to alert medical personnel or family members in emergencies, Waveguard seeks to reduce the time it takes for solitary elderly individuals to receive medical attention after an incident, therefore mitigating the severity of injuries from falls and expediting the response to critical health events.

Goal and Objectives

Goal
To improve the quality of life and physical health of elderly individuals living alone by providing assistance in dealing with daily risks through the support of “Waveguard,” an advanced detection system designed for safety and protection.

Objectives
Users will be able to
•	monitor the motions and different vital signs of them/ their elderly family who live alone remotely through the real-time millimeter wave (mmWave) based system and artificial intelligence (AI) algorithms
•	gain timely medical support by notifying the medical personnel/their family through the wireless communication speaker system

Current Situation  
justify the problem in depth (cause/impact)
Hong Kong's senior population is increasing. Compared to 1.45 million in 2021, there will be 2.74 million more elderly individuals in 2046. Given that the population is predicted to increase from 20.5% to 36%, more than one in three people living in Hong Kong will be old [1].  But fewer infants are being born, and young adults are moving away from their parents for employment, so there are fewer young people to care for the elderly.  This implies that an increasing number of senior citizens live alone. 
 
Long-term health conditions like diabetes or heart disease are common among the elderly. Approximately 7 out of 10 elderly adults in Hong Kong suffer from this kind of illness. They require ongoing medical attention, which can be hard if they live alone. An further major issue for the elderly is falls, they may even make it more difficult for them to live independently or result in more severe injuries like fractures [2]. Older adults who live alone may experience feelings of loneliness, sadness, or anxiety, which may worsen their health.
 
As the number of older people goes up, more people need medical care. This can overload the healthcare system, making people wait longer for help and taking resources away from others.  According to the report of Hospital Authority, the waiting time in emergency rooms is generally more than 2 hours, and some areas even need to wait more than 7 hours before receiving treatment [3]. This shows that medical resources and medical staff are insufficient, and there is no more manpower to take care of the elderly. There's also a bigger need for places where older people can live and get care over a long time, as well as services that can quickly help them in emergencies, like if they fall.

Product Overview
Waveguard:
Specification:

• Height: Approximately 3 cm. 
• Length: Approximately 10 cm. 
• Width: Approximately 10 cm.

Description: Waveguard is a compact, unobtrusive device designed to enhance the safety and well-being of the elderly. Its minimalist design allows it to blend into home environments seamlessly. Equipped with advanced technology, including mmWave sensors and AI algorithms, it provides non-invasive monitoring of vital signs and physical conditions, ensuring timely assistance and peace of mind for users and their caregivers.


Advanced millimeter Wave (MMwave) Sensors:
Description: These sensors are the core of the Waveguard system, operating within the 24 GHz to 300 GHz frequency range[4]. They are adept at detecting subtle movements and obstacles, including walls, enabling the system to monitor vital signs and movement without physical contact.

Artificial Intelligence (AI) Algorithms:
Description: AI algorithms in Waveguard process data from MMwave sensors to analyze patterns and detect irregularities. This includes monitoring heart rate, respiratory rate, and detecting falls or sudden changes in physical condition, enabling real-time health monitoring and emergency alerts.

Wireless Communication System:
Description: This system facilitates seamless connectivity between Waveguard and external devices or services, such as caregivers' smartphones or emergency services. It ensures timely alerts and updates are provided, enhancing the safety net for the elderly.

Speaker System:
Description: Integrated within the Waveguard, the speaker system can issue audible alerts or instructions, providing an additional layer of interaction and emergency communication with the monitored individual.

Central Processing Unit (CPU):
Description: The CPU, potentially consisting of microcontrollers or FPGAs, is optimized for high-speed signal processing. It processes data in real-time, applying signal processing techniques to extract meaningful health indicators from the raw data captured by mmWave sensors.

Technical Description
The system architecture, depicted in Figure 2, integrates a series of state-of-the-art components and technologies that operate synergistically. These include the mmWave sensors, AI-driven processing unit, real-time communication infrastructure, and a user-oriented mobile application, all of which work together to deliver a reliable, real-time monitoring and notification ecosystem.

Millimeter Wave Sensing Technology
Waveguard utilizes state-of-the-art millimeter-wave (mmWave) sensing to monitor the well-being of the elderly, particularly when they are living alone. The mmWave Frequency-Modulated Continuous-Wave (FMCW) radar functions by emitting a high-frequency wave that can detect minute movements. Upon hitting a target, such as a person, the wave is scattered back to the system’s receiving antennas. This captured data is then processed into point clouds—a 1D model composed of dots that represent the position of objects or people—which are crucial for creating an accurate spatial representation and detecting movements or alterations of the elderly in posture.  Additionally, the system generates Doppler velocity information, which measures movement speed and direction using the change in frequency of the reflected wave, crucial for recognizing emergencies like falls or determining abnormal inactivity. Working through clothing and without needing a direct line-of-sight, the technology is particularly suited for home environments where light conditions and visual obstructions are variable, all while maintaining privacy by not producing visual images of the individuals it monitors.

AI-Driven Fall Detection
Central to the ‘Waveguard’ system is its AI and machine learning core, which uses Long Short-Term Memory (LSTM) networks [6]. LSTM networks are designed to remember patterns over time, much like our human memory works, by filtering information to focus on important details and discard what’s not relevant. These are well-suited for sequence prediction problems and are used to interpret the captured mmWave data. This sophisticated AI framework has been trained to reliably differentiate between regular activities such as walking, sitting, or lying down and critical events like falls. Real-time interpretation of these activities is reinforced through continuous monitoring of vital signs, including respiration and heart rate, offering a comprehensive health assessment of elderly individuals.

Real-time Communication and Notification System
Once the onboard processor within the mmWave device detects a fall, it transmits a signal to a dedicated server via existing communication networks like 4G, 5G, or Wi-Fi. The Waveguard server performs several processes, such as logging the incident, identifying the affected individual, and coordinating notification dissemination. Caregivers or family members then receive an alert through a specially designed mobile application. Furthermore, in critical conditions where emergency services are needed, Waveguard includes a wireless communication-linked speaker system, facilitating direct contact with medical personnel or relatives. This ensures not only timely medical intervention but also constant reassurance for the elderly and their families that help is always at hand.

Mobile Application
The Waveguard mobile application utilizes widespread smartphone technology to reliably send instant alerts. When the monitoring system detects unusual movement or critical changes in vitals suggesting a fall or health concern, it triggers a notification that is pushed to the connected smartphone. This works similar to receiving a text message or app notification, ensuring the caregiver is informed promptly, regardless of their location. The notification design is not only straightforward, allowing for swift recognition of the alert type (e.g., fall, heart rate irregularity, etc.), but also visually prioritizes the urgency so that more critical alerts are discernible at a glance, helping caregivers to react appropriately and without delay.

Energy Considerations
To ensure that Waveguard remains an effective tool for continuous monitoring, it will be meticulously engineered to maximize energy efficiency. The IWRL6432 mmWave sensor embodies the essence of energy efficiency with its sophisticated low-power 45nm RFCMOS process engineered to deliver high performance while minimizing power consumption [7]. With its current battery setup, Waveguard is expected to operate autonomously for up to 12 months before requiring a battery replacement or recharge, under typical usage conditions. These advancements could potentially enable Waveguard to operate indefinitely with minimal human intervention, making it an even more dependable tool for continuous monitoring in diverse environments.

Benefits

Saving Lives
Waveguard pioneers an innovative safety net, poised to save numerous lives: statistical modeling suggests over 500 potential lives saved annually in Hong Kong alone. By enabling instantaneous fall detection and swift communication, imperative for preventing fatalities or long-term disabilities post-fall, the system intervenes at critical moments, ensuring that help arrives when seconds count. The direct alert to caregivers and medical personnel dramatically reduces the risk of unnoticed accidents, making Waveguard a lifesaver in solitary elderly care.

Improved Health Quality
Waveguard contributes significantly to the health quality of the elderly by delivering real-time insights into daily health metrics. By monitoring vital signs continuously and detecting anomalies, the system assists in early diagnosis and intervention, decreasing the complication rates associated with chronic illnesses. This vigilant supervision empowers elderly individuals to manage their conditions proactively and maintain a higher level of independence, reinforcing their sense of dignity and well-being.

Cost-Effective and Efficient Care
The efficiency of Waveguard translates into substantial cost savings: estimates suggest annual healthcare cost reductions exceeding HK$50 million by curtailing hospital admissions and reducing the demand on emergency services. By preventing falls and expediting responses to critical events, the system diminishes the average length of hospital stays, contributing to a leaner, more efficient healthcare environment. This economic leverage amplifies the societal value of Waveguard as a pioneering solution in cost-contained, high-impact elderly care.

Project Team

Sherman Hon, Research Engineer 
Sherman Hon is a pivotal member of the Waveguard project, bringing with him a year of intensive research experience from the Hong Kong AI Lab, where he developed a groundbreaking machine learning model. His skill set encompasses a keen aptitude for research, the ability to construct and implement advanced algorithms, and a profound knowledge of mathematics—assets he channels into enhancing the precision and reliability of Waveguard’s millimeter wave and AI systems. Sherman’s day-to-day responsibilities include the meticulous crafting and refinement of the AI algorithms critical for differentiating between everyday movements and emergency incidents, a core feature spotlighted in the Technical Description. His adeptness in modeling and implementing these sophisticated systems ensures that Waveguard delivers on its promise of non-invasive, accurate monitoring and rapid emergency response, echoing the benefits of safety and efficiency that are fundamental to the success of our elderly care initiative.

Lucas Fok, Software Engineer
Lucas Fok is a software engineer with advanced technology into applications. His expertise in developing mobile and web application that connect well with Waveguard’s System. Lucas is dedicated to writing clear code for efficient application, listening to User feedback and continuously improving the software for better useability and performance. In this Final year project, Lucas created an Android App designed to improve Indoor Navigation using WIFI signal. This project not only showcased his coding abilities but also his commitment to solving real-world problems through technology. He tackled issues like signal interference and user interface design, making the app both accurate in its navigation and easy for user to understand. Also, during his internship, Lucas worked on a team developing a scheduling system, for healthcare providers, aimed streamlining patient appointments and staff shifts. This experience brings him in the software development lifecycle, from ideas to deploying the final product. He contributed to coding, testing and provided support such as launch, learning how to adapt and refined software in response to user feedback. His ability helps develop project with navigate complicate coding challenges and insight into user-design can led to outstanding advancements in the Wavegurad project with high quality, user-friendly health monitoring product

Jason Li, Hardware Engineer
Jason LI is responsible for the process of Waveguard's physical components and has interned with electronic technology companies as an assistant equipment engineer, specializing in the design of electronic components using CAD software and SolidWorks. With his expertise in mechanical engineering, he plays a key role in product architecture and the design and assembly of electronic parts. In addition, Jason is also responsible for the integration of key wireless communication systems. His careful attention to details ensures the perfect operation of the system, and software and hardware can help each other without conflict, creating a reliable product. His efforts to ensure that the hardware architecture effectively supports the capabilities of millimeter wave sensors and artificial intelligence algorithms, plays a key role in energy efficiency, and enables Waveguard to operate continuously with low energy consumption are important guarantees for the success of the product.

Jack Zhang
Jack Zhang is an up-and-coming Communication Systems Architect for the Waveguard project. He has participated in a capstone project where his team developed a low-cost, Bluetooth-based mesh network for campus-wide communication, which taught him valuable lessons in creating scalable and resilient communication networks. In addition to his academic pursuits, Jack has completed a summer internship with a local tech company, where he assisted in developing firmware for wireless communication devices. This experience gave him practical insights into the challenges of real-time data transmission and the importance of creating user-centric solutions.
At Waveguard, Jack is tasked with the critical role of designing and implementing the communication functions that enable the device to interact seamlessly with external systems such as emergency services and caregiver mobile applications. He applies his theoretical knowledge and practical experience to ensure the communication module is not only efficient and secure but also consumes minimal power to prolong device autonomy. Jack's commitment to the Waveguard project is evident through his methodical approach to problem-solving and his ongoing efforts to stay abreast of emerging technologies in communication. His dedication to crafting reliable communication solutions positions Waveguard as a leader in proactive elderly care.

Conclusion
In conclusion, "Waveguard" serves as a pivotal innovation designed to enhance the safety and well-being of Hong Kong's solitary elderly population.    By utilizing cutting-edge millimeter wave technology and artificial intelligence algorithms, Waveguard adeptly monitors the motions and vital signs of individuals, ensuring that any emergencies are promptly addressed.  The system's ability to operate without infringing on privacy while maintaining high accuracy is a testament to its thoughtful design.      The integration of a wireless communication speaker system ensures that medical personnel or family members are alerted immediately during critical situations, thus significantly reducing the response time to accidents like falls or health emergencies.
 
The beneficiaries of Waveguard's technology are not only the elderly individuals who are safeguarded by this system but also their families who gain peace of mind knowing their loved ones have an additional layer of protection. Medical professionals also stand to benefit from the efficiency afforded by timely alerts to potential health crises.     it promises to alleviate the strain on healthcare resources by potentially reducing hospital stays and improving the allocation of medical care.  As we look towards the future, Waveguard is poised to become an indispensable ally in the realm of elderly care.

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Write the Executive Summary part before the introduction part. If there is extra information needed, please let me know.