ArticleSensors (Basel, Switzerland)2021
ROS-Based Smart Walker with Fuzzy Posture Judgement and Power Assistance.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed, 12 citations in OpenAlex.
- Functions and Sensors of Smart Walkers From 2015 to 2024: Scoping Review.JMIR rehabilitation and assistive technologies · 2026Review
- Development of a smart walker for clinical settings: a protocol of an exploratory mixed-methods study.BMJ open · 2025Article
- Development of Assistance Level Adjustment Function for Variable Load on a Forearm-Supported Robotic Walker.Sensors (Basel, Switzerland) · 2024Article
- A Robot-Operation-System-Based Smart Machine Box and Its Application on Predictive Maintenance.Sensors (Basel, Switzerland) · 2023Article
- Quantum JIDOKA. Integration of Quantum Simulation on a CNC Machine for In-Process Control Visualization.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years the increased rate of the aging population has become more serious. With aging, the elderly sometimes inevitably faces many problems which lead to slow walking, unstable or weak limbs and even fall-related injuries. So, it is very important to develop an assistive aid device. In this study, a fuzzy controller-based smart walker with a distributed robot operating system (ROS) framework is designed to assist in independent walking. The combination of Raspberry Pi and PIC microcontroller acts as the control kernel of the proposed device. In addition, the environmental information and user postures can be recognized with the integration of sensors. The sensing data include the road slope, velocity of the walker, and user's grip forces, etc. According to the sensing data, the fuzzy controller can produce an assistive force to make the walker moving more smoothly and safely. Apart from this, a mobile application (App) is designed that allows the user's guardian to view the current status of the smart walker as well as to track the user's location.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.