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    題名: Facial Nerve Disorder Rehabilitation via Generative Adversarial Network
    作者: 郁方
    Yu, Fang;Su, Donald Jasper;Lin, Chia Cheng
    貢獻者: 資管系
    關鍵詞: Generative Adversarial Network;Healthcare;Facial Nerve Paralysis
    日期: 2023-12
    上傳時間: 2024-04-11 09:45:00 (UTC+8)
    摘要: With the rapid growth in the number of patients with facial nerve disorders, the cost of therapy is continually increasing, thus placing both physical and financial burdens on patients. Patients with facial nerve paralysis can benefit from facial massages and facial muscle exercises, which enhance tissue blood circulation and oxygen uptake, thereby ameliorating facial muscle stiffness and pain. Consequently, this paper proposes a demonstration of a rehabilitation system designed to lessen the burdens borne by patients while encouraging a greater dedication and readiness to engage in rehabilitation. Leveraging Facemesh technology, we can accurately identify facial landmarks of individuals, thereby facilitating the assessment of the precision in the exercises performed by patients. Additionally, the GANimation model is employed to create user-specific instructional imagery derived from their facial attributes. The effectiveness of our proposed system is underscored through a live demonstration bolstered by rigorous experimental validation.
    關聯: The 28th International Conference on Technologies and Applications of Artificial Intelligence (TAAI), TAAI
    資料類型: conference
    DOI 連結: https://doi.org/10.1007/978-981-97-1711-8_18
    DOI: 10.1007/978-981-97-1711-8_18
    顯示於類別:[資訊管理學系] 會議論文

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