2021
DOI: 10.48550/arxiv.2107.07331
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A Light-weight Deep Human Activity Recognition Algorithm Using Multi-knowledge Distillation

Abstract: Human activity recognition (HAR) based on IMU sensors is an essential domain in ubiquitous computing. Because of the improving trend to deploy artificial intelligence into IoT devices or smartphones, more researchers design the HAR models for embedded devices. We propose a plug-and-play HAR modeling pipeline with multi-level distillation to build deep convolutional HAR models with native support of embedded devices. SMLDist consists of stage distillation, memory distillation, and logits distillation, which cov… Show more

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