Augmented Reality (AR) allows users to interact with the virtual world in the real-world environment. This paper proposes a child avatar simulation framework using multimodal data integration and user interaction in the AR environment. This framework generates the child avatar that can interact with the user and respond to his/her behaviors and consists of three subsystems: (1) the avatar interaction system scrutinizes user behaviors based on the user data, (2) the avatar action control system generates naturalistic avatar activities (actions and voices) according to the avatar internal status, and (3) the avatar display system renders the avatar through the AR interface. In addition, a child tantrum management training application has been built based on the proposed framework. And a light machine learning model has been integrated to enable efficient and effective speech emotion recognition. A sufficiently realistic child tantrum management training based on the evaluation of clinical child psychologists is enabled, which helps users get familiar with child tantrum management.
A six-month-long Atlantic hurricane season impacts Florida residents every year and can result in devastating consequences, including loss of life, property damage, and business interruptions. Hurricane risk assessment and loss prediction are critical to various uses such as determining homeowner insurance premiums, regulating these premiums, conducting scenario analysis, conducting stress tests for companies, disaster management, and evaluating the benefits of disaster mitigation techniques. This article describes the Florida Public Hurricane Loss Model (FPHLM): a large-scale catastrophe model with massive databases and analytics tools for business and government decision-making. We will discuss the design and implementation of each component in FPHLM and explain the tools and techniques utilized to tackle challenges in data availability, data analytics, and the interface between the data, analytical techniques, and computing. Results are shown to validate the software system's effectiveness and reliability and illustrate some of the system's use cases.
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