The color of an obstacle may enable a more detailed view of the environment to facilitate obstacle avoidance. However, people with Parkinson's disease (PD) present visual contrast and color detection dysfunction, which could affect obstacle avoidance according to obstacle color. Thus, the aim of this study was to investigate the influence of obstacle color on locomotor and gaze behavior during obstacle avoidance in people with PD and neurologically healthy older individuals. Thirteen people with PD and eleven matched-control group individuals, with normal visual acuity (20/20 on the Snellen chart), performed 20 trials (5 trials for each obstacle color condition) of the obstacle avoidance task with the following obstacle colors: white, black, red, and blue. Participants were positioned at the beginning of a walkway with their eyes closed and, after the start command, opened their eyes, started walking at their preferred velocity, and crossed the obstacle. Spatial-temporal parameters and fixations on the obstacle (gaze behavior) were measured using a three-dimensional camera system and mobile eye-tracker, respectively. Our main findings were the absence of significant color interaction on locomotor and gaze behaviors, the absence of significant main effect of color on gaze behavior, and an effect of obstacle color on locomotor behavior, specifically in the placement of the heel from the obstacle after crossing and toe-clearance for both trailing and leading limbs, which indicates that obstacle color can play a role in obstacle avoidance during walking. However, there was no consistent obstacle color that influenced the locomotor behavior. Therefore, the conclusion of this study is that obstacle color seems to affect locomotor behavior, but not gaze behavior, during walking with obstacle avoidance in people with PD and neurologically healthy individuals. However, no particular obstacle color causes a consistent effect on locomotor behavior.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s00221-018-5385-1 | DOI Listing |
J Phys Chem Lett
December 2024
Key Lab of Organic Optoelectronics and Molecular Engineering of Ministry of Education, Department of Chemistry, Tsinghua University, Beijing 100084, P. R. China.
Organic light-emitting diodes (OLEDs) have become the cutting-edge technology in the display market. However, compared with green and red stacks, blue stacks still remain an obstacle for OLED technology. There seems to be an "impossible trinity" between efficiency, stability, and color-purity for blue OLEDs.
View Article and Find Full Text PDFFront Plant Sci
November 2024
College of Software, Shanxi Agricultural University, Taigu, China.
When harvesting bunch tomatoes, accurately identifying certain fruiting stems proves challenging due to their obstruction by branches and leaves, or their similarity in colour to the branches, main vines, and lateral vines. Additionally, irregularities in the growth pattern of the fruiting pedicels further complicate precise picking point localization, thus impacting harvesting efficiency. Moreover, the fruit stalks being too short or slender poses an obstacle, rendering it impossible for the depth camera to accurately obtain depth information during depth value acquisition.
View Article and Find Full Text PDFJ Colloid Interface Sci
December 2024
School of Chemistry and Chemical Engineering, Northwestern Polytechnical University, Xi'an 710129, China. Electronic address:
Nanophotonics
March 2024
School of Electrical Engineering and Computer Science, Department of Semiconductor Engineering, and Artificial Intelligence (AI) Graduate School, Gwangju Institute of Science and Technology (GIST), Cheomdangwagi-ro 123, Buk-gu, Gwangju 61005, Republic of Korea.
Talanta
March 2025
Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, College of Chemistry and Chemical Engineering, Southwest University, Chongqing, 400715, China. Electronic address:
Peroxide test strip (PTS) has been widely used for the point-of-care testing (POCT), but its poor sensitivity is a big obstacle for analyzing trace target. Herein, a triple signal amplifying platform integrating the liposome enrichment, the hybridization chain reaction (HCR) circuit, and the image analysis method was constructed to enhance the visual readout of PTS for the sensitive detection of adenosine triphosphate (ATP), an important biomarker of food spoilage. In the presence of ATP, the HCR amplifier was firstly initiated on the surface of magnetic beads (MBs), inducing a large number of glucose oxidase (GOD) imbedded liposomes to be attached.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!