Research on Innovation Design Strategies for Wearable Smart Health Monitoring Devices Based on Deep Learning and User Emotional Needs
Abstract
insuffi cient, resulting in a poor user experience. This paper proposes a design method that combines deep learning, perceptual engineering
and TRIZ theory. By identifying users’ emotional needs through big data mining and deep learning technology, establishing a correlation
matrix between needs and design elements, automatically generating product design concepts that meet emotional needs, and applying TRIZ
theory to resolve design confl icts, we have successfully developed a design framework for wearable smart health monitoring devices that
balances functionality and emotional resonance. It provides a practical reference for the development of similar devices and opens up a new
direction for future research on emotional design.
Keywords
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DOI: http://dx.doi.org/10.18686/modern-management-forum.v8i8.13840
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