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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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TL;DR: In this article , the authors describe a modular sensorized climbing wall for motion analysis in a naturalistic environment, equipped with force sensors to measure interaction forces between the athlete and the wall, which can be used by experienced instructors, athletes, or therapists to gain insights into the quality of motion.
Abstract: We describe the design of a modular sensorized climbing wall for motion analysis in a naturalistic environment. The wall is equipped with force sensors to measure interaction forces between the athlete and the wall, which can be used by experienced instructors, athletes, or therapists, to gain insights into the quality of motion. A specifically designed triaxial load cell is integrated into each hold placement, invisible to the climber, and compatible with standard climbing holds. Data collected through the sensors is sent to an app running on a portable device. The wall can be adapted to different uses. To validate our design, we recorded a repeated climbing activity of eleven climbers with varying degrees of expertise. Analysis of the interaction forces during the exercise demonstrates that the sensor network design can provide valuable information to track and analyze exercise performance changes over time. Here we report the design process as well as the validation and testing of the sensorized climbing wall.
01 Jan 2007
TL;DR: In this paper, the effects of having different number of spokes are studied in two bases: climbing ability over an obstacle and the required coefficient of friction between spoke tips and stairs, where the climbing ability is measured by the maximum height of obstacle that the vehicle is able to travel.
Abstract: This paper presents quasi-static analysis of a leg- wheel hybrid vehicle for enhancing stair climbing ability. The vehicle consists of four spoke-wheels. The number of spokes for each wheel can be altered by varying the number of strips attaching to the wheel hub. The effects of having different number of spokes are studied in two bases: climbing ability over an obstacle and the required coefficient of friction between spoke tips and stairs. The climbing ability is measured by the maximum height of obstacle that the vehicle is able to travel. For a certain friction coefficient, the limit for obstacle height can also be predicted. Leg-wheel vehicles with four, six and twelve spokes are also built and tested. Results from the quasi-static analysis and the experiments are shown to be comparable. The slight difference is due to deformations of the spoke strips from the vehicle weight. Calculation and experimental results are in agreement. The maximum step height of the leg wheel can roll over in each case is relatively more than its hub. The twelve- spoke wheel gives the maximum absolute height among the three cases.
Patent
01 Jun 2018
TL;DR: In this article, the authors proposed a bionic stair-climbing stepping transport cart, which includes a cart frame and stair climbing mechanisms, where the stair climbing mechanism is arranged at the left and right sides of the cart frame.
Abstract: The invention relates to the technical field of transport devices, in particular to a bionic stair-climbing stepping transport cart and an operation method thereof. The bionic stair-climbing steppingtransport cart includes a cart frame and stair-climbing mechanisms, wherein the stair-climbing mechanisms are arranged at the left and right sides of the cart frame; the stair-climbing mechanisms include retractable support legs which are connected with a power device and take connection points as centers to wiggle in a reciprocating mode under the effect of the power device, so that the retractable support legs arranged at the left and right sides of the cart frame respectively wiggle forth and back in sequence; when the retractable support legs wiggle, the bionic stair-climbing stepping transport cart is supported; by arranging the two retractable support legs on the cart frame, the retractable support legs can walk up and down stairs like the human's feet; the problem is solved that inthe prior art, planet-gear stair climbers or crawler-type stair climbers cannot well adapt to the stairs; the bionic stair-climbing stepping transport cart is simple in structure and can be applied tothe stairs of various sizes and gradients, labor intensity of porters is reduced, and a large amount of manpower is saved.
Patent
19 Jan 2018
TL;DR: In this article, an intelligent robot capable of helping a child to walk based on the internet of things is described. But it is not shown how to assist the child to learn the correct walking posture through the walking assisting mechanism.
Abstract: The invention relates to an intelligent robot capable of helping a child to walk based on the internet of things. The intelligent robot comprises a main body, a moving mechanism, a walking assisting mechanism, a supporting rod, a buffer mechanism and a central control mechanism. The moving mechanism comprises a translation assembly and a stair climbing assembly, the translation assembly comprisesa driving unit and a moving unit, and the stair climbing assembly comprises an air pump, a connecting pipe, a disk and three telescopic units. The walking assisting mechanism comprises a fastening assembly, a lifting assembly and a swing arm assembly. The fastening assembly comprises three fastening units. The lifting assembly comprises a second motor, a screw rod and a lifting plate. A swing unitcomprises a third motor, a second drive shaft, a third gear and a moving frame. According to the intelligent robot capable of helping the child to walk based on the internet of things, the child is helped to learn the correct walking posture through the walking assisting mechanism; the child can be helped to walk or climb stairs through the moving mechanism; and through all the mechanisms, practicality of the robot is greatly improved.

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