https://scholar.dgist.ac.kr/handle/20.500.11750/10135 2026-04-29T03:47:00Z https://scholar.dgist.ac.kr/handle/20.500.11750/60268 Title: Tag interference based mobile object tracking with passive UHF RFID system Author(s): Choi, Jae Sung; Kang, Won Seok; Son, Chan Sik; Son, Byung Rak; Lee, Dong Ha Abstract: This paper proposes a novel method that enables location sensing for a mobile object by utilizing deployed passive UHF Radio Frequency Identification (RFID) tags and a stationary RFID reader. In order to estimate the mobile object location, the proposed method utilizes the second order under damped system based tag to tag interference model. The empirical study using RFID systems and a mobile robot verifies the effectiveness and performance of the proposed method. © Springer-Verlag Berlin Heidelberg 2015. 2014-12-31T15:00:00Z https://scholar.dgist.ac.kr/handle/20.500.11750/60267 Title: Stable path planning algorithm for avoidance of dynamic obstacles Author(s): Kang, Won-Seok; Yun, Sanghun; Kwon, Hyung-Oh; Choi, Rock Hyun; Son, Chang-Sik; Lee, Dong Ha Abstract: Previous research of path planning has focused mainly on finding shortest paths or smallest movements. These methods, however, have poor stability characteristics when dynamic obstacles are considered on real-life or in-body map's environments. In this paper, we suggest a stable path planning algorithm for avoidance of dynamic obstacles. The proposed method makes the movement of a mobile robot more stable in a dynamic environment. Our focus is based on finding optimal movements for stability rather than finding shortest paths or smallest movements. The algorithm is based on Genetic Algorithm (GA) and uses k-means clustering to recognize the distribution of dynamics obstacles in various mobile space. Simulation results confirm this method can determine stable paths through environments involving dynamic obstacles. In order to validate our results, we compared the dynamic k values used in k-means clustering and grid-based dynamic cell sizes from several test sets. © 2015 IEEE. 2014-12-31T15:00:00Z https://scholar.dgist.ac.kr/handle/20.500.11750/60259 Title: Robust UWB Radar Gesture Recognition Addressing Speed-Induced Scale Variations via Multi-Scale Feature Extraction Author(s): Kim, Bong-Seok; Choi, Rockhyun; Jang, Seonghyun; Kim, Sangdong Abstract: In this paper, we propose a speed-robust hand gesture recognition system incorporating a multi-scale feature extraction (MSFE) module to address the critical engineering challenge of time-frequency scale mismatch caused by varying gesture speeds in ultra-wideband (UWB) radar. Conventional convolutional neural networks (CNNs) utilizing fixed kernels fail to effectively capture features when the same gesture is performed at different speeds, leading to performance degradation. To overcome this, our MSFE is specifically designed for the range-Doppler domain and is applied to the first layer to normalize physical motion-induced scale variations early in the pipeline. Experimental results on the UWB-gestures dataset demonstrate a 98.12% accuracy, outperforming conventional CNN and LSTM-based models. Furthermore, we provide a comprehensive runtime analysis, confirming that the proposed system is computationally efficient with only a marginal 1.3% increase in parameters, making it feasible for real-time deployment on edge devices. © 2013 IEEE. 2026-02-28T15:00:00Z https://scholar.dgist.ac.kr/handle/20.500.11750/60255 Title: 이동감지 마커를 이용한 어깨 관절 위치 추정 방법 및 시스템 Author(s): 강복구; 이현기; 구교권 Abstract: 본 발명은 이동감지 마커를 이용한 어깨 관절 위치 추정 방법을 제공하며, 트래커 카메라를 이용하여 사용자의 손목에 부착되는 광학식 마커를 촬영하여 마커 이미지를 생성하는 단계와 마커 이미지로부터 도출되는 마커 정보를 이용하여 손목 위치 정보를 생성하는 단계와 마커 이미지로부터 일정한 프레임 간격으로 4개의 마커점을 생성하는 단계 및 손목 위치 정보를 이용하여 어깨 관절 위치 정보를 생성하는 단계를 포함할 수 있다.