I am writing a project proposal for seed funding for an engineering project. The project proposal should include the part Project Summary, Introduction, Goal and Objectives, Current Situation, Product Overview, Technical Description, Impact, Project Team, Schedule, Budget, Conclusion and References. This proposal should be written for non-expert target funders. Specifically, I am writing the Technical Description part. My project is named “Waveguard”, and my project outline is :
“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
PROBLEMS/NEEDS/OPPORTUNITIES
- Aging Population: Demographics shift towards more elderly individuals, over 1 million of the population are aged 65 or above in Hong Kong.
- Safety Concerns: The Unintentional Injury Survey 2018 conducted by the Department of Health (DH) showed that fall was the most common type of unintentional injury, accounting for 39.4% of all injury episodes that occurred over a 12-month period. Falls and accidents pose serious risks to the solitary elderly as they may not be discovered very soon, necessitating early detection and intervention.
- Healthcare Challenges: About 70% of the elderly in Hong Kong are suffering from chronic diseases, most commonly diabetes and hypertension. Timely health condition monitoring and treatment are needed, especially for the solitary elderly.
EXISTING SOLUTIONS
- Vision-based detection systems, e.g. video cameras, depth cameras, and thermal cameras: Have privacy issues and low detection accuracy in low light, clothing cover environments.
- Non-vision-based sensors, e.g. acoustic-based systems, vibration-based systems, infrared-based systems and radar-based systems: Limited by the effect caused by environmental noise.
- Wearable devices, e.g., smartwatches and IMU devices: Inconvenient and unacceptable because the elderly may forget to wear the device.
KEY FEATURES AND FUNCTIONS
- A mmWave-based monitoring system that can detect and recognize different motions of the elderly, e.g. standing, walking, sitting on a chair, sleeping on a bed, opening a door, opening a cupboard, picking up the pole stand, drinking water from a bottle, fall, etc and different vital signs, e.g. respiration and heart rate, by leveraging mmWave sensing and machine learning technology.
-In the proposed system, the mmWave FMCW radar transmits the frequency-modulated continuous wave through transmitting antennas in order to impinge on the target, which here is a human. The scattering EM wave is received by receiving antennas and then is transformed into point clouds and doppler velocity. The point clouds and doppler velocity are selected and grouped as an input dataset of the intelligent system using the LSTM network for fall detection. Before feeding the input data, including point clouds and doppler velocity, into the LSTM network, data preprocessing, including data filtering, data averaging, and sliding window processing, was performed. In the data preprocessing, the point clouds at zero doppler velocity, often called spurious data, are filtered out. The filtered point clouds scattered from many targets and received by many receiving antennas are averaged to attain point clouds in a direction in one dimension. The filtered and averaged point clouds in the zaxis direction, and doppler velocity, are fed into the LSTM network, which is employed to intelligently detect the fall of an elderly person. The data preprocessing and detection were done using a processor. The processor of the radar will send a notification to the computer server through communication networks such as 4G, 5G or Internet networks if a fall is detected. The server receives the notification and then does a few processing steps such as counting the number of detected falls, storing data in data lockers, and matching the elderly individual that is monitored by the radar to one or more elderly caregivers. The server will send a push notification to the caregiver’s mobile application in order to warn a caregiver about all. A notification will be resent only when the caregiver takes care of the fall and pushes the button ‘‘took care’’ on the mobile application and then a new fall is detected.
- Combined with a wireless communication-based system and speaker that directly contacts and communicates with the medical personnel and the elderly’s family when detecting accident or emergency situations.
- Using IWRL6432 as mmwave sensor:The IWRL6432 is a mmWave radar sensor developed by Texas Instruments that focuses on high-performance while consuming low power. This radar sensor opens up new possibilities for industrial applications, as it can be used in low-power and battery-powered devices.

One of the key advantages of the IWRL6432 is its ability to supplement cameras in products like home security cameras and video doorbells. By adding radar functionality, these devices can provide precise location detection, low-power presence detection, human vs. non-human classification, and person counting. This not only enhances their performance but also reduces false detections and alarms. In some cases, the radar can even replace the camera entirely, allowing for non-visual observation in areas where personal privacy is a concern, such as bedrooms and restrooms.

The low-power consumption of the IWRL6432 enables battery-powered operation, expanding the areas where the device can be placed. Indoor occupancy sensors and radar-enabled lights and fixtures can now be installed nearly anywhere, as they no longer require a line power source. These devices utilize radar to count and localize the number of people in a room, making lighting and ventilation systems more efficient and robust. The minor motion detection capability of the radar sensor improves the efficiency of these products by detecting even the slightest movements.

Personal electronics like laptops, earbuds, and music players can also benefit from the low power consumption of the IWRL6432. For example, laptops can use radar for “on-looker” presence detection, automatically dimming the display when there is an unwanted presence near the user. This feature helps conserve battery life without compromising user privacy.

The low power consumption, accurate range and velocity information, and reliable performance of the IWRL6432 enable numerous applications of radar technology. Texas Instruments has developed the sensor using a low power 45nm RFCMOS process, which allows for high integration and low power consumption. The device employs a combination of hardware design and software techniques to minimize power consumption in active and sleep modes. It includes four power domains that can be turned on/off via software controls, and it offers various low-power states such as sleep and deep sleep.

In conclusion, the IWRL6432 from Texas Instruments meets the growing demand for robust, reliable, and accurate high-performance sensing solutions with minimal power consumption. As buildings, homes, factories, and personal electronics become smarter, the IWRL6432 provides a valuable solution for meeting sensing requirements while keeping power consumption to a minimum.
- This system can protect the privacy of the user since the mmWave will not capture any image or video; the detection accuracy is invariant to light conditions, clothing cover environments, temperature changes and environmental noise, and it is convenient because the user do not have to wear any device.
- A program (software application) for the hospital and elderly’s family to monitor the elderly’s health situation consistently in real time.
”
The good sample of another project “Guide Buddy” proposal’s Technical Description part:
“
Technical Description
Accurate Outdoor Navigation
With GPS, robotic guide dogs can track their location, measure the distance between destinations and find out the shortest path (Terrier & Schutz, 2005). Map data is also essential for accurate GPS Navigation and can be collected by aerial photography (Marzolff & Poesen, 2009). Aerial photography could provide higher resolution, and so with good-quality map data and GPS, robotic guide dogs can provide accurate outdoor navigation. A real-time database will be built in to provide real-time information to users such as traffic density, and road blocks.
Siri-integrated Communication
The project team will focus on (1) expanding answer database, and (2) incorporating AI voice generation. We will collaborate with Hong Kong Blind Union to develop a response database that addresses the most common problems, inquires and scenarios. In addition to an expanded answer database, the innovative approach of AI voice generation enables more natural and engaging interactions.
Personalised Settings
Using Artificial Intelligence, settings will be customised based on the analysis of the users’ behaviors and preferences. Default settings will be suggested but all settings can be further adjusted manually.
1. Personal Profile: To enhance the guide dog’s ability to provide tailored support, the personal profile of the user will be processed by AI and machine learning.
2. Training Mode: To build confidence and reinforce skills, users will be able to customise simulated training sessions with the guide dog.
3. Obstacle Sensitivity and Environmental Adaptation: To adapt to personal preferences, safety concerns and environmental variations, users will be able to adjust the sensitivity of obstacle detection and avoidance.
4. Route Preferences: To ensure efficiency and accessibility, users can set preferences for route selection.
5. Footstep tracer: To ensure safety, users can control the pace of Guide Buddy according to their own pace through the velocity tracking controller.
Day-long Operation
Lithium-ion (Li-ion) batteries will be used due to their high energy density, relatively long cycle life, and lightweight characteristics. The following energy-efficient components, power-saving modes, and energy harvesting techniques will also be integrated into the design:

1. Energy-Efficient Components: Guide Buddy can utilize low-power sensors, such as proximity sensors or motion sensors, that consume minimal energy while providing accurate data for obstacle detection and navigation.
2. Power-Saving Modes: Guide Buddy can incorporate power-saving modes that automatically activate during periods of inactivity. During this mode, non-essential functions can be temporarily disabled or put on standby.
3. Energy Harvesting: Solar panels can be integrated into the device’s body or accessories, allowing it to recharge its battery using sunlight. Kinetic energy harvesting mechanisms, such as generating electricity from the movement of the device or the user’s interactions, can also be implemented to capture and convert energy into usable power.

”
A good Product Overview and Technical Description should:
Create a logical connection between each component described. Explanation: how do parts work together to fulfill its function; What key principles governing its functioning.
My outline of the Technical Description part :
“
-Millimeter Wave Sensing Technology
-AI-Driven Fall and vital sign recognition
-Real-time Communication (speaker) and Notification System
-Mobile application
-Energy Considerations

”
Write a Technical Description part for my project “Waveguard” for about 1000 words using my project outline, the structure and pattern of the good sample and the information above. You can add your own knowledge, if there are extra information needed, please let me know.