The Study of Methods for Improve the Linearity of the Walking Assistant Robot to Move on Lateral Slopes

Lee, Won Young; Eom, Su-Hong; Jang, Mun-Suck; Kwon, O-Sang; Lee, Eung-Hyuk

doi:10.5573/ieek.2013.50.1.261

Cited by 2 publications

(1 citation statement)

References 3 publications

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“…However, much strength on the hand knob is needed to make walking aids move slowly. Current walking aids might increase the walking speed, causing the risk of accident to increase [19]. In addition, according to one particular study dealing with the movement of lower bodies, two IR sensors attached underneath the walking aids estimated the movement of shins when walking and identified the gait intention.…”

Section: Introductionmentioning

confidence: 99%

Preliminary study on verifying the detection of gait intention based on knee joint anterior displacement of gait slopes

Kang

Yang

et al. 2015

BME

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Abstract. This study investigated the feasibility of the Infrared (IR) sensor-based walking aids for detecting the gait intention. To compensate for the defects of Force Sensing Resistors (FSRs) or force sensors, such as the velocity control problem on gait slopes, we used IR sensors to investigate knee joint anterior displacement in order to recognize the gait intention. We also measure leg muscle activities and foot pressure, in order to verify our investigation. We placed two IR sensors on the rollator center to sense left and right leg walking intentions. We took EMG signals of four leg muscles, and analyzed them. Foot pressure analysis parameters were the measured force and mean pressure. We conducted experiments on twenty young healthy adults. The results show that knee joint anterior displacement increases according to gait slope and velocity. We confirm similar results of knee joint anterior displacement through the IR sensors.

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Section: Introductionmentioning

confidence: 99%

Preliminary study on verifying the detection of gait intention based on knee joint anterior displacement of gait slopes

Kang

Yang

et al. 2015

BME

View full text Add to dashboard Cite

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Development of a Caterpillar-Type Walker for the Elderly People

et al. 2021

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A walker assists elderly people with age-related reduced walking ability and helps to improve stability and balance ability. However, if the general-type walker (GTW) is used on an uneven, obstacle, or sloped terrain, it may cause excessive muscle use and falls. Therefore, in this study, we developed a caterpillar-type walker (CTW) that elderly people can safely use in various terrains. Twelve elderly who were able to walk normally participated in the study. The activity of upper and lower extremity muscles, the number of obstacles overcome, and walking speed was compared and analyzed when using two types of walkers in uneven terrain, obstacle terrain, and sloped terrain. In addition, satisfaction with the use of these walkers was evaluated. When CTW was used, the activity of the muscles of the upper and lower extremities was significantly reduced compared to the use of GTW on all terrains. The walker developed in this study overcame obstacles of all heights, but the GTW failed to overcome obstacles starting from the 2 cm section. In terms of walking speed, when the CTW was used, the walking speed was higher than that of the GTW in uneven terrain and obstacle terrain. In satisfaction, there were significant differences in safety, durability, simplicity of use, comfort, and effectiveness. Through these results, it was confirmed that the CTW can efficiently and safely assist the elderly in walking on uneven terrain, obstacle terrain, and inclined terrain.

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The Study of Methods for Improve the Linearity of the Walking Assistant Robot to Move on Lateral Slopes

Cited by 2 publications

References 3 publications

Preliminary study on verifying the detection of gait intention based on knee joint anterior displacement of gait slopes

Preliminary study on verifying the detection of gait intention based on knee joint anterior displacement of gait slopes

Development of a Caterpillar-Type Walker for the Elderly People

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