Movement Direction Classification Using Low-Resolution ToF Sensor and LSTM-Based Neural Network

This study proposes an effective method for identifying human movement direction in indoor environments by leveraging a low-resolution time-of-flight (ToF) sensor and a long short-term memory (LSTM) neural network model. While previous studies have employed camera-based or high-resolution ToF-based...

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Bibliographic Details
Main Authors: Sejik Oh, Kyoung Min Lee, Seok Young Lee, Nam Kyu Kwon
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Journal of Sensor and Actuator Networks
Subjects:
Online Access:https://www.mdpi.com/2224-2708/14/3/61
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