Exploration of Low-Cost but Accurate Radar-Based Human Motion Direction Determination

• URL: http://arxiv.org/abs/2507.22567v2
• Date: Mon, 04 Aug 2025 02:35:43 GMT
• Title: Exploration of Low-Cost but Accurate Radar-Based Human Motion Direction Determination
• Authors: Weicheng Gao,
• Abstract summary: A low-cost but accurate radar-based human motion direction determination (HMDD) method is explored in this paper.<n>The HMDD is implemented through a lightweight and fast Vision Transformer-Convolutional Neural Network hybrid model structure.<n>The effectiveness of the proposed method is verified through open-source dataset.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This work is completed on a whim after discussions with my junior colleague. The motion direction angle affects the micro-Doppler spectrum width, thus determining the human motion direction can provide important prior information for downstream tasks such as gait recognition. However, Doppler-Time map (DTM)-based methods still have room for improvement in achieving feature augmentation and motion determination simultaneously. In response, a low-cost but accurate radar-based human motion direction determination (HMDD) method is explored in this paper. In detail, the radar-based human gait DTMs are first generated, and then the feature augmentation is achieved using feature linking model. Subsequently, the HMDD is implemented through a lightweight and fast Vision Transformer-Convolutional Neural Network hybrid model structure. The effectiveness of the proposed method is verified through open-source dataset. The open-source code of this work is released at: https://github.com/JoeyBGOfficial/Low-Cost-Accurate-Radar-Based-Human-Motion-Direction-Determination .

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