ArticleSensors (Basel, Switzerland)2014
Wearable gait measurement system with an instrumented cane for exoskeleton control.
Article in Sensors (Basel, Switzerland), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 102 citations in OpenAlex.
- Lower Limb Motion Classification of Actions in Confined Environments Based on Multi-Source Signal Fusion and Muscle Symmetry Features.Sensors (Basel, Switzerland) · 2026Article
- A Linear Rehabilitative Motion Planning Method with a Multi-Posture Lower-Limb Rehabilitation Robot.Sensors (Basel, Switzerland) · 2024Article
- Interlimb and Intralimb Synergy Modeling for Lower Limb Assistive Devices: Modeling Methods and Feature Selection.Cyborg and bionic systems (Washington, D.C.) · 2024Article
- Lower Limb Exoskeleton Sensors: State-of-the-Art.Sensors (Basel, Switzerland) · 2022Review
- Hand Exoskeleton Design and Human-Machine Interaction Strategies for Rehabilitation.Bioengineering (Basel, Switzerland) · 2022Article
- Gait Synergy Analysis and Modeling on Amputees and Stroke Patients for Lower Limb Assistive Devices.Sensors (Basel, Switzerland) · 2022Article
- Generation of Gait Events with a FSR Based Cane Handle.Sensors (Basel, Switzerland) · 2021Article
- Load Auditory Feedback Boosts Crutch Usage in Subjects With Central Nervous System Lesions: A Pilot Study.Frontiers in neurology · 2021Article
- Load Position and Weight Classification during Carrying Gait Using Wearable Inertial and Electromyographic Sensors.Sensors (Basel, Switzerland) · 2020Article
- Inertial Sensor-Based Instrumented Cane for Real-Time Walking Cane Kinematics Estimation.Sensors (Basel, Switzerland) · 2020Article
- Sensorized Tip for Monitoring People with Multiple Sclerosis that Require Assistive Devices for Walking.Sensors (Basel, Switzerland) · 2020Article
- Improved Active Disturbance Rejection Control for Trajectory Tracking Control of Lower Limb Robotic Rehabilitation Exoskeleton.Sensors (Basel, Switzerland) · 2020Article
- Processing Surface EMG Signals for Exoskeleton Motion Control.Frontiers in neurorobotics · 2020Article
- Flexible Insole Sensors with Stably Connected Electrodes for Gait Phase Detection.Sensors (Basel, Switzerland) · 2019Article
- Instrumented Crutch Tip for Monitoring Force and Crutch Pitch Angle.Sensors (Basel, Switzerland) · 2019Article
- Stability of Mina v2 for Robot-Assisted Balance and Locomotion.Frontiers in neurorobotics · 2018Article
- Voluntary Ambulation by Upper Limb-Triggered HAL® in Patients with Complete Quadri/Paraplegia Due to Chronic Spinal Cord Injury.Frontiers in neuroscience · 2017Article
- A review of wearable technology in medicine.Journal of the Royal Society of Medicine · 2016Review
- A Neural Network-Based Gait Phase Classification Method Using Sensors Equipped on Lower Limb Exoskeleton Robots.Sensors (Basel, Switzerland) · 2015Article
- Toward real-time automated detection of turns during gait using wearable inertial measurement units.Sensors (Basel, Switzerland) · 2014Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this research we introduce a wearable sensory system for motion intention estimation and control of exoskeleton robot. The system comprises wearable inertial motion sensors and shoe-embedded force sensors. The system utilizes an instrumented cane as a part of the interface between the user and the robot. The cane reflects the motion of upper limbs, and is used in terms of human inter-limb synergies. The developed control system provides assisted motion in coherence with the motion of other unassisted limbs. The system utilizes the instrumented cane together with body worn sensors, and provides assistance for start, stop and continuous walking. We verified the function of the proposed method and the developed wearable system through gait trials on treadmill and on ground. The achievement contributes to finding an intuitive and feasible interface between human and robot through wearable gait sensors for practical use of assistive technology. It also contributes to the technology for cognitively assisted locomotion, which helps the locomotion of physically challenged people.
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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.