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6 EdUHK IP for IP Venture Scheme 

Participating teams can choose one of the EdUHK IPs below.
 

 
 

1) A Multi-modal Handwriting Analysis Platform: System and Algorithms

This intelligent handwriting platform integrates multi-model data to analyse children’s handwriting quality in real-time. By tracking eye movements, body posture, hand-eye coordination, and stroke patterns, and leveraging artificial intelligence, it delivers fast and accurate assessments to enhance writing skills effectively. The system provides personalised evaluations and feedback such as posture improvement exercises or focus-enhancing strategies, to help students develop stronger handwriting abilities.

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Principal Investigator: Dr Fu Hong (Department of Mathematics and Information Technology)

Features and Advantages

  • Integrates multiple devices: head-mounted eye-tracker, cameras, smart writing pads, and computers, to capture eye movements, posture, stroke trajectory and pen pressure

  • Provides real-time evaluations during writing, enabling immediate adjustments and error correction

  • Creates an engaging and supportive learning environment for student with special needs

  • Synchronises multimodal data automatically from all devices for comprehensive analysis

  • Employs advanced AI algorithms to extract insights and evaluate handwriting with high accuracy and objectivity

  • Generates visual reports with detailed charts and graphs, offering actionable feedback on posture, focus and pressure

  • Simplifies handwriting issue identification and resolution, saving teachers time and effort

 

Future Applications

  • Support SEN students by identifying and addressing specific handwriting challenges

  • Empower teachers with detailed reports and actionable insights to better understand students’ writing issues

  • Assist individuals recovering from motor or cognitive impairments affecting handwriting

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2) An IoT Nutrition Management System with Smart Panels and AI Platform for Sustainable Dietary Progress

The system integrates a smart panel with an AI-powered platform to enhance sustainable dietary habits. It features a meal recognition app that analyses food images for nutritional insights. AI nutritionists can optimise meal plans to help individuals, allowing users, including athletes, elderly and patients with special nutritional needs, to manage their unique dietary requirements effectively. By collaborating with healthcare service providers and buffet-ware manufacturers, the system provides instant and accurate meal analysis and empowers users of all ages and status to take charge of their health under professional guidelines.

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Project Team: Dr Mung Wai Yin Steve, Ms Foo Sharon, Mr Lai Chun Yin Woody, Ms Lo Yuen Wing Crystal (Research and Development Office)

Features and Advantages

  • A multi-sensing panel can easily be retrofitted into traditional buffet-ware and catering equipment

  • The system can instantly and accurately analyse personal food intake across eight essential food indices, including weight, calories, carbohydrates, proteins, fat, dietary fibre, calcium, iron

  • A comprehensive and precise database of 800+ varied dishes simplifies the nutrition tracking process

  • Integrates facial recognition to streamline the tracking process in sports, schools or worksite cafeterias, allowing personalisation and effortless upload of data

  • User-friendly App supported by visual intelligence allows users to take photos or record their meals for instant nutritional analysis anytime and anywhere

  • Offers optimised meal plans and personalised dietary recommendations through an AI nutritionist

 

Future Applications

  • Implement the system, in collaboration with Sunnex, in hotels, cafeterias and public hospitals to address the growing need for personalised dietary care

  • Tailor for diverse needs, including hospital patients and the elderly with specific health requirements, athletes striving for peak performance, and vegetarians wishing to maintain balanced nutrition

  • Enhance AI for optimal health outcomes by gaining deeper nutritional insights from analysis of users’ dietary history, BMI, and nutritional goals

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3) Digital Puppet for Generative Art

This interactive puppetry system merges traditional puppetry with digital technologies, including 3D production, motion capture system and originated graphic control software. It modernises and reactivates traditional puppetry into contemporary art. It creates distinct puppet performances while involving the young generation in preserving endangered cultural heritage.

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Principal Investigator: Dr Hung Keung (Department of Cultural and Creative Arts)

Features and Advantages

  • Reforms and eases puppetry manipulation with unprecedented precision and fluidity

  • Utilises 3D technologies to preserve the craftsmanship and movements of precious traditional puppets

  • Presents marionette as shadow puppetry via generative image creation and real-time interaction

  • Seamlessly synchronises the motions, speeds and rhythms of both controlled puppet and digital one

  • Revitalises such traditional art by providing stunning and cross-cultural appreciation to the communities

  • A cutting-edge tool to document the past and present puppetry in one go, allowing sustainable reproduction

 

Future Applications

  • Develop customised digital puppetry solutions to cater to cultural traditions and artistic needs

  • Organise workshops, exhibitions, and competitions to engage young generations in puppetry playing and conservation

  • Evolve a mini-size gamified kit to expand this entertainment to the public

Digital Puppetry System Connecting Young Generation and Cultural Heritage with Novel Techn
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4) Portable Aeroponic Culture Unit

It is an all-in-one STEM-based aeroponic planting unit that allows high school students to explore plant-microbe symbiosis and semi-mass production of symbiotic microbes practically. Equipped with a real-time monitoring function, users can observe and manage the planting out of the lab. It is a scientific specialist breeder that renovates the pedagogy to interactive biology learning and critical thinking.
 

Principal Investigator: Prof Wong Ming Hung (Department of Science and Environmental Studies)

Co-Investigators: Dr Li Wai Chin, Dr Man Yu Bon, Dr Chung Ming Kei

Features and Advantages

  • Supports both professional plant and semi-mass microbe production in aeroponic culture and hands-on STEM education in biology

  • A portable and monitorable unit for auto-planting and remote controls, eases restrictions of space and time

  • Instant alert on abnormality by the embedded IoT technology and data logging system•Novel and standardized teaching approach that allows group work in experiments

  • Easy to set up and manage, enhance the convenience and flexibility for educators

 

Future Applications

  • Mass produce the device and distribute it to secondary educational institutions, science museums

  • Revamp the pedagogy into practical-based learning in chemistry and physics

  • Develop customised extension kits to learn phytology and cytology at home

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​5) Rapid Quantification of Microplastics Using Total Organic Carbon Analysis with Simple Sample Pretreatment

This invention advances the Total Organic Carbon (TOC) analysis with an all-in-one sample pre-treatment device to efficiently and accurately assess the microplastic (MP) pollution levels in different water samples. Equipped with a web-based mobile app, users can monitor and control the pre-treatment device and collect real-time data remotely. It is applicable to determine MP mass representatively. Unlike other commonly used MP quantification methods, its accuracy is not affected by the complex nature of MP pollution and environmental conditions.

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Principal Investigator: Dr Tsang Yiu-fai (Department of Science and Environmental Studies)

Co-investigators: Ms Cheng Yan-laam, Ms Li Ziying

Features and Advantages

  • Low-cost alternative - allows routine monitoring of MP pollution in environmental laboratories

  • All-in-one, sensible pre-treatment device – require less equipment and manpower for fast quantification

  • MP quantification in five rapid steps: digestion, density separation, filtration, drying, and TOC analysis

  • Optimise pre-treatment conditions – reduces time by up to 75% and cost by up to 60%

  • Effectively eliminate undesired organic carbon content in samples

  • Remote control via web app – operates and monitors analysis outside the lab

 

Future Applications

  • Extend the application of the proposed pre-treatment device to soil and air samples

  • Establish a set of standard operating protocols for the detection and quantification of microplastics in environmental samples and integrate into environmental monitoring and assessment

  • Explore the feasibility of detection and quantification of weathered microplastics and microplastics from bioplastics

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6) System and Method for Interacting with Human Brain Activities Using EEG-fNIRS Neurofeedback

This versatile, cross-device and groundbreaking EEG-fNIRS neurofeedback platform enhances brain health and functioning in a user-friendly way at a more affordable cost than either electroencephalography (EEG) or functional near-infrared spectroscopy (fNIRS) capturing different aspects of brain activities.  It provides significant benefits to the cognitive, emotional, and behavioural capabilities of the Autism Spectrum Disorder (ASD) community, commanding approximately 1% of the world's population.
 

Principal Investigator: Dr Yeung Kin Chung Michael (Department of Psychology)

Features and Advantages

  • One of the first hybrid systems combining EEG-fNIRS technologies to foster development in brain function and neurovascular coupling for autistic children

  • Provides a versatile solution to enhance a wide range of functions by intervening in different neural networks

  • Offers at least three interactive game-based training modules to enhance cognitive functions, emotion regulation, and social functioning in neuropsychiatric disorders

  • Uses ecologically valid feedback stimuli, reward delivery, and progressive loading to maximise treatment efficacy and adherence: these are rarely found in existing neurofeedback products

  • Enables a high-quality training experience across various devices

  • Alleviates stress in parents and teachers by providing effective tools for managing autism-related challenges

  • Promises to reduce healthcare costs while enhancing the well-being and daily-living capacities of autistic children

 

Future Applications

  • Pioneer an improved autism-oriented neurofeedback training protocol

  • Incorporate advanced machine learning algorithms for personalized training based on each child’s unique brain patterns

  • Collaborate with schools and healthcare providers to implement the technology widely within community settings at a more affordable cost than current options

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