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        A Dynamic Head Gesture Recognition Method for Real-time Intention Inference and Its Application to Visual Human-robot Interaction

        Jialong Xie,Botao Zhang,Qiang Lu,Oleg Borisov 제어·로봇·시스템학회 2024 International Journal of Control, Automation, and Vol.22 No.1

        Head gesture is a natural and non-verbal communication method for human-computer and human-robot interaction, conveying attitudes and intentions. However, the existing vision-based recognition methods cannot meet the precision and robustness of interaction requirements. Due to the limited computational resources, applying most high-accuracy methods to mobile and onboard devices is challenging. Moreover, the wearable device-based approach is inconvenient and expensive. To deal with these problems, an end-to-end two-stream fusion network named TSIR3D is proposed to identify head gestures from videos for analyzing human attitudes and intentions. Inspired by Inception and ResNet architecture, the width and depth of the network are increased to capture motion features sufficiently. Meanwhile, convolutional kernels are expanded from the spatial domain to the spatiotemporal domain for temporal feature extraction. The fusion position of the two-stream channel is explored under an accuracy/complexity trade-off to a certain extent. Furthermore, a dynamic head gesture dataset named DHG and a behavior tree are designed for human-robot interaction. Experimental results show that the proposed method has advantages in real-time performance on the remote server or the onboard computer. Furthermore, its accuracy on the DHG can surpass most state-of-the-art vision-based methods and is even better than most previous approaches based on head-mounted sensors. Finally, TSIR3D is applied on Pepper Robot equipped with Jetson TX2.

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        TGF-β1/IL-11/MEK/ERK signaling mediates senescence-associated pulmonary fibrosis in a stress-induced premature senescence model of Bmi-1 deficiency

        Haiyun Chen,Jialong Liang,Xin Gu,Jiawen Zhou,Chunfeng Xie,Xianhui Lv,Rong Wang,Qing Liu,Zhiyuan Mao,Haijian Sun,Guoping Zuo,Dengshun Miao,Jianliang Jin 생화학분자생물학회 2020 Experimental and molecular medicine Vol.52 No.-

        To study whether TGF-β1/IL-11/MEK/ERK (TIME) signaling mediates senescence-associated pulmonary fibrosis (SAPF) in Bmi-1-deficient (Bmi-1−/−) mice and determines the major downstream mediator of Bmi-1 and crosstalk between p16INK4a and reactive oxygen species that regulates SAPF, phenotypes were compared among 7-week-old p16INK4a and Bmi-1 double-knockout, N-acetylcysteine (NAC)-treated Bmi-1−/−, Bmi-1−/−, and wild-type mice. Pulmonary fibroblasts and alveolar type II epithelial (AT2) cells were used for experiments. Human pulmonary tissues were tested for type Ι collagen, α-smooth muscle actin (α-SMA), p16INK4a, p53, p21, and TIME signaling by using enzyme-linked immunosorbent assay (ELISA). Our results demonstrated that Bmi-1 deficiency resulted in a shortened lifespan, ventilatory resistance, poor ventilatory compliance, and SAPF, including cell senescence, DNA damage, a senescence-associated secretory phenotype and collagen overdeposition that was mediated by the upregulation of TIME signaling. The signaling stimulated cell senescence, senescence-related secretion of TGF-β1 and IL-11 and production of collagen 1 by pulmonary fibroblasts and the epithelial-to-mesenchymal transition of AT2 cells. These processes were inhibited by anti-IL-11 or the MEK inhibitor PD98059. NAC treatment prolonged the lifespan and ameliorated pulmonary dysfunction and SAPF by downregulating TIME signaling more than p16INK4a deletion by inhibiting oxidative stress and DNA damage and promoting ubiquitinproteasome degradation of p16INK4a and p53. Cytoplasmic p16INK4a accumulation upregulated MEK/ERK signaling by inhibiting the translocation of pERK1/2 (Thr202/Tyr204) from the cytoplasm to the nucleus in senescent fibroblasts. The accumulation of collagen 1 and α-SMA in human lungs accompanied by cell senescence may be mediated by TIME signaling. Thus, this signaling in aging fibroblasts or AT2 cells could be a therapeutic target for preventing SAPF.

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