Context and Activity Recognition for Personalised Behaviour Recommendation

用于个性化行为推荐的上下文和活动识别

• 批准号: LP190100140
• 负责人: Prof Lina Yao
• 金额: $ 23.17万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2021
• 资助国家: 澳大利亚
• 起止时间: 2021-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP190100140
• 关键词: Context; Activity; Recognition; Personalised; Behaviour

The Internet of Things (IoT) together with the rising popularity of smartphones opens a new world for many exciting opportunities. The overall goal of this project is to develop new algorithms and data analytical techniques in an IoT environment that can accurately monitor and analyse personalised daily activities on a continuous, real-time basis. The expected result of this project will support many critical applications such as better wellness tracking and lifestyle-related illness prevention, which will be particularly critical to Australia's aging population. This project will also serve as a vehicle to educate and train Australia’s young scholars and engineers.

物联网（IoT）与智能手机的日益普及为许多令人兴奋的机会打开了一个新的世界。该项目的总体目标是在物联网环境中开发新的算法和数据分析技术，以连续、实时地准确监控和分析个性化的日常活动。该项目的预期成果将支持许多关键应用，如更好的健康跟踪和与生活方式相关的疾病预防，这对澳大利亚的老龄化人口尤为重要。该项目还将成为教育和培训澳大利亚年轻学者和工程师的一种手段。