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SynLS: A novel diffusion-transformer framework for generating high-quality wearable sensor time series data to enhance health monitoring

2025-05-15

Abstract excerpt

While global medical research is poised to benefit from the rapid advance of artificial intelligence (AI) technologies, veterinary medicine research often faces significant limitations due to data scarcity and availability issues. To address this issue, we proposed a generative modeling framework, SynLS, for generating highly realistic synthetic wearable sensor data. Leveraging diffusion architecture and transform...

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Literature Corpus work: e474dc0f-191a-539d-b67f-f97234d0c1df
DOI: 10.1101/2025.05.11.653212

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