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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 11-Apr-2024 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 https://doi.org/10.1007/978-981-97-1711-8_18
dc.contributor 資管系
dc.creator (作者) 郁方
dc.creator (作者) Yu, Fang;Su, Donald Jasper;Lin, Chia Cheng
dc.date (日期) 2023-12
dc.date.accessioned 11-Apr-2024 09:45:00 (UTC+8)-
dc.date.available 11-Apr-2024 09:45:00 (UTC+8)-
dc.date.issued (上傳時間) 11-Apr-2024 09:45:00 (UTC+8)-
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/150793-
dc.description.abstract (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.
dc.format.extent 108 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) The 28th International Conference on Technologies and Applications of Artificial Intelligence (TAAI), TAAI
dc.subject (關鍵詞) Generative Adversarial Network; Healthcare; Facial Nerve Paralysis
dc.title (題名) Facial Nerve Disorder Rehabilitation via Generative Adversarial Network
dc.type (資料類型) conference
dc.identifier.doi (DOI) 10.1007/978-981-97-1711-8_18
dc.doi.uri (DOI) https://doi.org/10.1007/978-981-97-1711-8_18