April 2024

Human Activity Detection in VR Scenario

Computer Science, The 9th Engineering Inno Show / By

Develop a VR-Based Motion Capture System: Create a robust and accurate motion capture system to track and record users’ movements in real-time within the VR environment. To collect data for the later machine learning model training and testing.
Machine Learning Model and Algorithm design for Behavior Detection: Construct a combined system of suitable computer vision models to detect and analysis human activity in VR Scenario. Multi-models will be involved in this system, and an algorithm will be designed to help the system predict activities based on the predictions from those models, e.g. Voting Classifiers.
Real-Time Feedback and User Interaction: Integrate the behavior detection model with the VR environment to offer real-time feedback to users based on their actions and interactions, enhancing immersion and user engagement.

Trash Collection Patrol Bot

Electrical and Electronic Engineering, The 9th Engineering Inno Show / By

Our project is an automatic rubbish disposal car. which is divided into 4 parts.The whole system is operated under the link between a computer and the vehicle, through this link, the computer can sketch the environment and calculate both position and posture of the vehicle, giving the car instructions on movements. The radar module is for outlining​ the surrounding environment. The AI recognition module allows the car to label the spitball that the camera captured, this allows it to find the spitball we wish to throw away. The Robotic Arm module is responsible for grabbing the object and throwing it into the Smart Bin. The Smart Bin should be able to open up automatically when the arm grabs the target as well as when someone’s hand is close to the bin.

Project Matchbox

Faculty of Engineering, The 9th Engineering Inno Show / By

Project Matchbox aims to recycle old keyboards into DIY controller kits for children. By putting together their own Matchbox controller, kids learn about breadboards, switches, and other basic electronics. This project is perfect for introducing complete beginners to the world of hardware engineering due to its simple design and affordable price point. Since we are using recycled keyboards and many common components, we can keep the cost of production low, making this educational STEM material accessible.

NeuroHarbor

Computer Science, The 9th Engineering Inno Show / By

Epilepsy, affecting over 70 million individuals worldwide, can cause significant physical injuries and psychosocial isolation. Epileptic seizures often incapacitate patients’ movement, making everyday activities potentially perilous, even fatal. The accurate and rapid detection of seizure onsets is vital for improving patients’ quality of life. Furthermore, traditional EEG diagnosis requires patients to remain bedridden, tethered by a wired headset until a seizure occurs. This process is disruptive, calling for a compact, wearable, and clinical-grade EEG headset that empowers mobility and real-time seizure monitoring.
We are poised to deliver this solution with an AI-powered wearable EEG headset. This innovative device, equipped with a proprietary AI model, facilitates real-time computing and rapid seizure detection. It ensures minimal latency, lower power consumption, compact design, and robust privacy, outpacing traditional systems. This technology liberates patients from wired, bed-restricted EEG setups, significantly enhancing their quality of life.

Beach Cleaning Robot

Mechanical Engineering, The 9th Engineering Inno Show / By

With the increasing concern about environmental pollution, particularly in coastal areas, the need for effective beach cleaning solutions has become paramount. This project aims to design and develop an unmanned beach cleaning robot capable of efficiently removing litter and maintaining the cleanliness of sandy shorelines. The successful execution of this initiative holds the potential to completely transform beach cleaning procedures in Hong Kong, actively contributing to environmental preservation, while simultaneously fostering greater awareness and involvement in maintaining the cleanliness of our coastlines.

Float: Message in a Bottle to Connect With Locals Worldwide

Faculty of Social Sciences, The 9th Engineering Inno Show / By

Float aims to enhance cultural immersion by connecting travellers with local natives worldwide through a gamified ‘Message in a Bottle’ feature. Float serves as a cultural compass — whether it’s for assembling a futon in a Japanese Ryokan or gaining trustworthy insights while traversing India. By integrating AI with human expertise, Float provides instant reliable translations, encouraging cultural understanding and user engagement through features like polls and threads, connecting learners with native speakers for a genuine exchange of language and culture.

Airring for construction workers @ 9th Inno Show

Faculty of Architecture, The 9th Engineering Inno Show / By

Our project is dedicated to developing protective wearables to combat future environmental conditions and climate events, proposing a sustainable living style. Our current project focuses on a cooling additive for construction safety hats, which provides a practical solution to keep temperatures down for workers in adverse site conditions exacerbated by global warming. This directly addresses the sustainability challenge of ensuring worker health and productivity in the face of rising temperatures in the built environment.

The Impact of ChatGPT on Problem-Based Learning in Medical Education: A Comparative Study on an Anaphylaxis Tutorial

LKS Faculty of Medicine, The 9th Engineering Inno Show / By

Generative AI, such as ChatGPT provides many promises, yet its role in medical education remains unclear and controversial. To evaluate the impact of adopting ChatGPT in medical education, we developed a pilot randomised controlled trial to evaluate the impact of ChatGPT on medical students ability to achieve learning outcomes in a problem-based learning (PBL) tutorial on anaphylaxis. We then evaluated the ability of GPT-3.5 and GPT-4.0 to achieve the learning outcomes in the PBL case. Results showed that students who used ChatGPT achieve the learning outcomes better, and GPT-3.5 and GPT-4.0 models of ChatGPT could achieve the PBL learning outcomes with minimal prompting. Nevertheless, the adoption of ChatGPT could also hinder the development of clinical reasoning skills.

An AI-Powered Virtual Diet Assistant App – FoodPrint

Computer Science, The 9th Engineering Inno Show / By

Ready to embrace a healthy lifestyle but don’t know where to start? Thinking about fasting but never being able to persist? Don’t worry, we have the solution for you! FoodPrint is here to guide you every step of the way—your virtual diet assistant who keeps track of everything you eat and provides you with the best customized advice before starting a new meal. Powered by the latest research from Prof. Chair and her team at CUHK, FoodPrint adopts the 16/8 intermittent fasting method, which has been examined as one of the most effective approaches in alleviating overweight and reducing cardiometabolic risks. With FoodPrint, you can experience the convenience of a dynamic fasting timer, an image-based calorie calculator, a comprehensive diet and weight tracker, and a personalized LLM-powered chatbot diet instructor. Get ready to transform your eating habits and achieve your wellness goals with FoodPrint!

Ergonomic Integrated Management System for 3D Printers @ 9th Inno Show

Industrial and Manufacturing Systems Engineering, The 9th Engineering Inno Show / By

Our approach involves leveraging the power of a language model, specifically the LLM (Large Language Model), to interpret and understand verbal commands. We tuned the LLM on a dataset of 3D printing-related instructions and implemented a robust natural language processing system to accurately recognize and execute user commands, ensuring seamless interaction with the 3D printer.