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Stair climbing

About: Stair climbing is a research topic. Over the lifetime, 1610 publications have been published within this topic receiving 30504 citations.


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Proceedings ArticleDOI
10 Aug 2018
TL;DR: It is found that subjects have significantly better ability to estimate their error with the presence of virtual shoes than without, and when the environment was open, which resulted in significantly higher ratings of presence.
Abstract: Most virtual environments that people locomote through with head-mounted displays are flat to match the physical environment that people are actively walking on. In this paper we simulated stair climbing, and evaluated how well people could assess the distance they had climbed after several minutes of the activity under various conditions. We varied factors such as the presence of virtual feet (shoes), whether the stairwell was open or enclosed, the presence or absence of passive haptic markers, and whether a subject was ascending or descending. In general, the distance climbed or descended was overestimated, consistent with prior work on the perception of height. We find that subjects have significantly better ability to estimate their error with the presence of virtual shoes than without, and when the environment was open. Having shoes also resulted in significantly higher ratings of presence. We also find a significant tendency for females to show higher ratings of simulator sickness.

18 citations

Journal ArticleDOI
TL;DR: A novel stair-climbing wheelchair operated by human upper body using lever propelled rotary-legs with posture transition mechanism to enable extended functionality of the regular wheelchair without the need of heavy, expensive mechanisms or electric motors.
Abstract: This paper describes a novel stair-climbing wheelchair operated by human upper body using lever propelled rotary-legs with posture transition mechanism. The design principle of this wheelchair is t...

18 citations

Proceedings ArticleDOI
15 Aug 2011
TL;DR: This method analyzes the edges of a stairway based on planar motion tracking and directional filters to detect the localization and recognition of an indoor stairway and finds the ground plane using the behavioral distance measurement.
Abstract: This paper we are proposing to detect the localization and recognition of an indoor stairway. This is a fundamental step in the implementing of autonomous stair climbing navigation, as well as the implementing of passive alarm systems intended for the blind and visually impaired. This method analyzes the edges of a stairway based on planar motion tracking and directional filters. The horizontal edges of the stairs are extracted by using the Gabor Filter. Then, the vanishing point is extracted from the specified set of line segments in the aim of facilitating the reconstruction of the stair treads. After this stage, we extract a hypothetical set of targets by using the correlation method. Finally, we employ the discrimination method to find the ground plane, using the behavioral distance measurement. Consequently, the remaining information is considered as an indoor stairway candidate region. As a result, testing is able to prove its effectiveness.

17 citations

Proceedings ArticleDOI
28 Mar 2011
TL;DR: This paper analyzes the edges of a stairway based on planar motion tracking and directional filters, and proposes the use of the discrimination method to find the ground plane, using the behavioral distance measurement.
Abstract: In this paper we are proposing to detect the localization and recognition of an indoor stairway. This is a fundamental step in the implementing of autonomous stair climbing navigation, as well as the implementing of passive alarm systems intended for the blind and visually impaired. Both of these systems must be able to recognize parameters that can describe stairways in unknown environments. This method analyzes the edges of a stairway based on planar motion tracking and directional filters. We extracted the horizontal edge of the stairs by using the Gabor Filter. From the specified set of horizontal line segments, we extracted a hypothetical set of targets by using the correlation method. Finally, we are proposing the use of the discrimination method to find the ground plane, using the behavioral distance measurement. Consequently, the remaining information is considered as an indoor stairway candidate region. After the stairway candidate region was obtained by applying our approach mentioned in the previous step, we proceeded with the candidate assessment tracking, based on the criterion of the minimum displaced frame difference, ground truth, as well as the rigidity of the stair. As a result, testing was able to prove its effectiveness.

17 citations

Journal ArticleDOI
TL;DR: Strict invariant relative timing may not be a fundamental feature of movement kinematics and this conclusion is contrary to previous studies of relative timing that involved less conservative analysis but is consistent with the wider gait literature.
Abstract: The kinematics of stair climbing were examined to test the assertion that relative timing is an invariant feature of human gait. Six male and four female subjects were video-recorded (at 60 Hz) while they climbed a flight of stairs 10 times at each of three speeds. Each gait cycle was divided into three segments by the maximum and minimum angular displacement of the left knee and left foot contact. Gentner's (1987) analysis methods were applied to the individual subject data to determine whether the duration of the segments remained a fixed proportion of gait cycle duration across changes in stair-climbing speed. A similar analysis was performed using knee velocity maxima to partition the gait cycle. Regardless of how the gait cycle was divided, relative timing was not found to remain strictly invariant across changes in speed. This conclusion is contrary to previous studies of relative timing that involved less conservative analysis but is consistent with the wider gait literature. Strict invariant relative timing may not be a fundamental feature of movement kinematics.

17 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202344
2022121
202165
202090
2019129
201896