A Method of Detecting Human Movement Intentions in Real Environments.

Accurate and timely movement intention detection can facilitate exoskeleton control during transitions between different locomotion modes. Detecting movement intentions in real environments remains a challenge due to unavoidable environmental uncertainties. False movement intention detection may also induce risks of falling and general danger for exoskeleton users. To this end, in this study, we developed a method for detecting human movement intentions in real environments. The proposed method is capable of online self-correcting by implementing a decision fusion layer. Gaze data from an eye tracker and inertial measurement unit (IMU) signals were fused at the feature extraction level and used to predict movement intentions using 2 different methods. Images from the scene camera embedded on the eye tracker were used to identify terrains using a convolutional neural network. The decision fusion was made based on the predicted movement intentions and identified terrains. Four able-bodied participants wearing the eye tracker and 7 IMU sensors took part in the experiments to complete the tasks of level ground walking, ramp ascending, ramp descending, stairs ascending, and stair descending. The recorded experimental data were used to test the feasibility of the proposed method. An overall accuracy of 93.4% was achieved when both feature fusion and decision fusion were used. Fusing gaze data with IMU signals improved the prediction accuracy.

An Integrated Eye-Tracking and Motion Capture System in Synchronized Gaze and Movement Analysis.

Integrating mobile eye-tracking and motion capture emerges as a promising approach in studying visual-motor coordination, due to its capability of expressing gaze data within the same laboratory-centered coordinate system as body movement data. In this paper, we proposed an integrated eye-tracking and motion capture system, which can record and analyze temporally and spatially synchronized gaze and motion data during dynamic movement. The accuracy of gaze measurement were evaluated on five participants while they were instructed to view fixed vision targets at different distances while standing still or walking towards the targets. Similar accuracy could be achieved in both static and dynamic conditions. To demonstrate the usability of the integrated system, several walking tasks were performed in three different pathways. Results revealed that participants tended to focus their gaze on the upcoming path, especially on the downward path, possibly for better navigation and planning. In a more complex pathway, coupled with more gaze time on the pathway, participants were also found having the longest step time and shortest step length, which led to the lowest walking speed. It was believed that the integration of eye-tracking and motion capture is a feasible and promising methodology quantifying visual-motor coordination in locomotion.

microRNA-10a-5p overexpression suppresses malignancy of colon cancer by regulating human liver cancer fibroblasts.

The crosstalk between tumor and stroma plays a critical role in cancer metastasis. However, the function of miR-10a-5p on liver fibroblasts in the metastatic microenvironment of colon cancer (CC) and the effect of activated fibroblasts on CC cells are still unclear. In our study, miR-10a-5p overexpression inhibited the proliferation, migration, and IL-6/IL-8 level of LX-2 cells and human liver cancer fibroblasts (HLCFs). Moreover, miR-10a-5p had lower expression in HLCFs than in human liver normal fibroblasts (HLNFs). The conditioned medium (CM) from LX-2 cells with miR-10a-5p overexpression or HLNFs could inhibit the invasion, migration, and stemness of CC SW480 cells, whereas HLCFs CM could promote these malignant phenotypes of SW480 cells. The present study illustrates the effect of miR-10a-5p on the liver fibroblasts and the altered liver fibroblasts in the microenvironment on CC cells induced by miR-10a-5p, which may aid the understanding of the mechanisms underlying CC liver metastasis.