Feb 5, 2024 · Ultra-wideband (UWB) time-difference-of-arrival (TDOA)-based localization has emerged as a promising, low-cost, and scalable indoor localization solution.
It used a k-nearest neighbor machine learning classifier to recognize four human activities: walking from the entrance toward the radar and back; walking from ...
Activity recognition using ultra wide band range-time scan. Proceedings of the 28th European Signal Processing Conference, Virtual Conference, Online. https ...
Jun 3, 2021 · 1 Data collection. For HAC using UWB radar, the backscattered signals at different time of arrivals, or different ranges from the radar, can be ...
Abstract. A radar human behavior perception system has penetration detection ability, which gives it a wide application prospect in the fields of security, ...
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Feb 18, 2020 · The results show that the proposed method outperforms convolutional neural network (CNN)-based methods. Of the six activities we investigated, ...
In this study, UWB sensors were mounted on a mobile robot to monitor and observe subjects from a specific distance (namely, 1.5–2.0 m). Initially, data were ...
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Jan 10, 2023 · In our work, we introduce a novel approach that uses the Doppler signal of an ultra-wideband (UWB) radar as an input to deep neural networks for ...
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Activity recognition using ultra wide band range-time scan. A Chowdhury, T ... Ultra-Wideband Radar Based Sensing of Dielectric Material for Estimation of ...
The algorithm works in the natural time-space domain, which eases the exploitation of the a-priori knowledge about the human subject target. For classification ...