CanTone vs HRV Screening：早期檢測先導計劃

CanTone is a Cantonese learning app designed specifically for ethnic minority kindergarten children. It offers the following features: 1. Listening to vocabulary at normal and slow speeds: The app provides a large number of audio examples, allowing children to listen to accurate Cantonese pronunciations and choose slower speed pronunciations for a clearer understanding of speech details. 2. AI pronunciation comparison feature: CanTone utilizes advanced AI technology to automatically analyze and evaluate children's pronunciation, providing immediate feedback to help them continuously improve. 3. Encouragement mechanism: The app employs a system of positive reinforcement, providing encouraging responses regardless of the child's pronunciation accuracy. This helps the children maintain a positive attitude towards learning and enjoy the learning process. Recently, CanTone has received funding and recognition from the SIE Fund (Social Innovation and Entrepreneurship Fund). This means that CanTone's innovative ideas and potential have been affirmed by professional organizations, which will contribute to the further development and perfection of the app. With the support of the funding, CanTone can optimize its product, expand its user base, continue to innovate, and establish partnership relationships. This will help achieve its mission of providing better Cantonese learning support for ethnic minority kindergarten children.

CPCE HRV Screening is a professional heart rate variability (HRV) data collection app designed for academic research. It helps researchers collect physiological data from tertiary students in Hong Kong for studies on stress and depressive symptoms. Key features: Automatically reads heart rate variability data from Apple Health Secure upload of data to research servers Intuitive data visualisation charts Data handling that complies with academic research ethics requirements This study is organised by the School of Professional and Continuing Education (CPCE), The Hong Kong Polytechnic University. It aims to collect and analyse participants’ HRV data to explore patterns of stress and mood among students. Participation is voluntary and all information is kept strictly confidential. The research team may access HRV data from participants’ Apple Health or Google Fit accounts for research purposes, collecting only HRV-related information (e.g. heart rate, HRV values, and timestamps). Data will be retained for twelve months after the project ends and then permanently destroyed. Some data may be processed or stored by third-party service providers (including but not limited to cloud storage, secure backup, or analysis). All such handling is subject to strict confidentiality and data protection agreements.