Design of a Robotic Knee Assistive Device (ROKAD) for Slip-Induced Fall Prevention during Walking

Trkov, Mitja; Wu, Shiqian; Chen, Kuo; Yi, Jingang; Liu, Tao; Zhao, Qijie

doi:10.1016/j.ifacol.2017.08.887

Cited by 9 publications

(5 citation statements)

References 18 publications

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“…time, distance and versatility. 9) Slippery Surface: Only two papers, [174], [175], focused on this motor skill. Three PIs were proposed for its evaluation; these were range of motion, angles and torques.…”

Section: Resultsmentioning

confidence: 99%

Performance Evaluation of Lower Limb Exoskeletons: A Systematic Review

Pinto-Fernández

Torricelli

Sanchez-Villamañan

et al. 2020

IEEE Trans. Neural Syst. Rehabil. Eng.

124

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Benchmarks have long been used to verify and compare the readiness level of different technologies in many application domains. In the field of wearable robots, the lack of a recognized benchmarking methodology is one important impediment that may hamper the efficient translation of research prototypes into actual products. At the same time, an exponentially growing number of research studies are addressing the problem of quantifying the performance of robotic exoskeletons, resulting in a rich and highly heterogeneous picture of methods, variables and protocols. This review aims to organize this information, and identify the most promising performance indicators that can be converted into practical benchmarks. We focus our analysis on lower limb functions, including a wide spectrum of motor skills and performance indicators. We found that, in general, the evaluation of lower limb exoskeletons is still largely focused on straight walking, with poor coverage of most of the basic motor skills that make up the activities of daily life. Our analysis also reveals a clear bias towards generic kinematics and kinetic indicators, in spite of the metrics of human-robot interaction. Based on these results, we identify and discuss a number of promising research directions that may help the community to attain a com-

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Section: Resultsmentioning

confidence: 99%

Performance Evaluation of Lower Limb Exoskeletons: A Systematic Review

Pinto-Fernández

Torricelli

Sanchez-Villamañan

et al. 2020

IEEE Trans. Neural Syst. Rehabil. Eng.

124

View full text Add to dashboard Cite

show abstract

“…In fact, to the authors' knowledge, there are no studies in the scientific literature that address and evaluate the applicability of fall risk assessment systems to actually prevent falls. In this regard, two potential solutions could be used with the fall risk assessment systems in order to enhance the likelihood of balance recovery upon a fall risk event: (i) trigger an assistive system attached to the subject, whenever a fall risk event is detected, in order to help regain balance and thus prevent the fall [61,62]; or (ii) improve subject's reactive stability and fall resisting skills. This can be achieved through conventional training, such as Tai-chi, which has proven effective towards fall prevention by improving balance, muscle strength, endurance, and proprioception [63].…”

Section: Future Directions and Workmentioning

confidence: 99%

Fall Risk Assessment Using Wearable Sensors: A Narrative Review

Ferreira

Ribeiro

Santos

2022

Sensors

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Recently, fall risk assessment has been a main focus in fall-related research. Wearable sensors have been used to increase the objectivity of this assessment, building on the traditional use of oversimplified questionnaires. However, it is necessary to define standard procedures that will us enable to acknowledge the multifactorial causes behind fall events while tackling the heterogeneity of the currently developed systems. Thus, it is necessary to identify the different specifications and demands of each fall risk assessment method. Hence, this manuscript provides a narrative review on the fall risk assessment methods performed in the scientific literature using wearable sensors. For each identified method, a comprehensive analysis has been carried out in order to find trends regarding the most used sensors and its characteristics, activities performed in the experimental protocol, and algorithms used to classify the fall risk. We also verified how studies performed the validation process of the developed fall risk assessment systems. The identification of trends for each fall risk assessment method would help researchers in the design of standard innovative solutions and enhance the reliability of this assessment towards a homogeneous benchmark solution.

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“…For fall prevention, mostly the above described technically supported training interventions are utilized. Exceptions are three studies we found, where robotic devices are used to detect and actively prevent occurring falls based on fall event detection algorithms (Trkov et al 2017;Ji et al 2018;Oh-Park et al 2021). While these approaches are certainly valuable, assuming a version that reliably works, the involved exoskeletons and robotic devices do have severe downsides in terms of usability and costs.…”

Section: Introductionmentioning

confidence: 99%

Improving balance using augmented visual orientation cues

Albrecht,

Streuber,

Assländer

2023

Preprint

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Falls are a major health concern, especially for elderly people. Existing augmented reality (AR) and virtual reality (VR) solutions for fall prevention aim to improve balance in dedicated training sessions. We propose a novel AR prototype as an assistive wearable device to improve balance and prevent falls in daily life. We use a custom head-mounted display toolkit to present augmented visual orientation cues (AVOC) in the peripheral field of view. The cues provide a continuous space-stationary visual reference frame for balance control using the user's tracked head position. In a study, users performed a series of balance trials to test the effect of the displayed visual cues on body sway. Our results showed that body sway can be reduced with our device, indicating improved balance. We also showed that superimposed movements of the visual reference in forward-backward or sideways directions induce respective sway responses. This indicates a direction-specific balance integration of the displayed cues. Based on our findings, we conclude that artificially generated visual orientation cues using AR can improve balance and could possibly reduce fall risk.

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Design of a Robotic Knee Assistive Device (ROKAD) for Slip-Induced Fall Prevention during Walking

Cited by 9 publications

References 18 publications

Performance Evaluation of Lower Limb Exoskeletons: A Systematic Review

Performance Evaluation of Lower Limb Exoskeletons: A Systematic Review

Fall Risk Assessment Using Wearable Sensors: A Narrative Review

Improving balance using augmented visual orientation cues

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