ReviewSensors (Basel, Switzerland)2022
Lower Limb Exoskeleton Sensors: State-of-the-Art.
Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.
- Use of Lower Limb Exoskeletons as an Assessment Tool for Human Motor Performance: A Systematic Review.Sensors (Basel, Switzerland) · 2023Pooled it
- Muscle myography for human-machine interfaces: a review of sensing modalities and control interfaces.Frontiers in bioengineering and biotechnology · 2026Review
- A Comprehensive Review of Elbow Exoskeletons: Classification by Structure, Actuation, and Sensing Technologies.Sensors (Basel, Switzerland) · 2025Review
- Development and Validation of a Modular Sensor-Based System for Gait Analysis and Control in Lower-Limb Exoskeletons.Sensors (Basel, Switzerland) · 2025Article
- Applications of Robotic Exoskeletons as Motion-Assistive Systems in Cancer Rehabilitation.Research (Washington, D.C.) · 2025Review
- Understanding the perspectives of older adults and physiotherapists on home-based lower-limb exoskeletons.Wearable technologies · 2025Article
- Review on Portable-Powered Lower Limb Exoskeletons.Sensors (Basel, Switzerland) · 2024Review
- Passive and Active Exoskeleton Solutions: Sensors, Actuators, Applications, and Recent Trends.Sensors (Basel, Switzerland) · 2024Review
- Recent Advances in Self-Powered Wearable Flexible Sensors for Human Gaits Analysis.Nanomaterials (Basel, Switzerland) · 2024Review
- Flexible Force Sensor Based on a PVA/AgNWs Nanocomposite and Cellulose Acetate.Sensors (Basel, Switzerland) · 2024Article
- Patent Review of Lower Limb Rehabilitation Robotic Systems by Sensors and Actuation Systems Used.Sensors (Basel, Switzerland) · 2023Review
- Review of adaptive control for stroke lower limb exoskeleton rehabilitation robot based on motion intention recognition.Frontiers in neurorobotics · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Due to the ever-increasing proportion of older people in the total population and the growing awareness of the importance of protecting workers against physical overload during long-time hard work, the idea of supporting exoskeletons progressed from high-tech fiction to almost commercialized products within the last six decades. Sensors, as part of the perception layer, play a crucial role in enhancing the functionality of exoskeletons by providing as accurate real-time data as possible to generate reliable input data for the control layer. The result of the processed sensor data is the information about current limb position, movement intension, and needed support. With the help of this review article, we want to clarify which criteria for sensors used in exoskeletons are important and how standard sensor types, such as kinematic and kinetic sensors, are used in lower limb exoskeletons. We also want to outline the possibilities and limitations of special medical signal sensors detecting, e.g., brain or muscle signals to improve data perception at the human-machine interface. A topic-based literature and product research was done to gain the best possible overview of the newest developments, research results, and products in the field. The paper provides an extensive overview of sensor criteria that need to be considered for the use of sensors in exoskeletons, as well as a collection of sensors and their placement used in current exoskeleton products. Additionally, the article points out several types of sensors detecting physiological or environmental signals that might be beneficial for future exoskeleton developments.
Indexed as
Identifiers
What OpenQuestion holds
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.