基於物聯網與人工智慧技術實作具辨識能力之語音帽

隨著無線網路及行動網路建設的完善、又加上微處理器和嵌入式技術的進步，手持多媒體屏幕裝置的完全普及率早已經是無法改變的現狀。對於孩童來說，在成長階段時過度的依賴這些手持多媒體屏幕裝置非常可能造成網路成癮症，因此如何在適當的時間讓孩童接觸適當的學習資源將會是很值得思考的問題，也是此論文的研究目的。本論文結合IoT物聯網與AI深度學習之技術，預期開發適合孩童的智慧輔助教學裝置，來幫助學齡前小朋友認識周遭有趣的事物，避免多媒體屏幕裝置對於孩童的身心健康影響，除此之外，還希望可以藉由智慧互動來提高孩童的學習興趣。

關鍵字

物聯網；深度學習；圖像辨識；孩童學習

並列摘要

With the completion of wireless network and mobile network construction, and the advancement of microprocessors and embedded technologies, the popularity of handheld multimedia screen devices has been flood and unrecoverable. Therefore, it is very possible to cause internet addiction for children if they put a lot of dependence on these handheld multimedia screen devices during the growth phase, so how to get children to the appropriate learning resources at the right time will be a problem deserves we thinking about, this also the purpose of this thesis. This thesis combines IoT and AI deep learning technology, and expects to develop a smart assistant teaching device suitable for children to help children to understand the interesting things around them and avoid children's physical and mental health be influenced by multimedia screen devices and hope to increase children's learning interest.

並列關鍵字

Internet of Things ； Deep learning ； Image recognize ； children learning

參考文獻

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[2] Domoff, S.E., Harrison, K., Gearhardt, A.N., Gentile, D.A., Lumeng, J.C., & Miller, A.L. “Development and Validation of the Problematic Media Use Measure: A Parent Report Measure of Screen Media “Addiction” in Children,” Psychology of Popular Media Culture, 2017