ArticleJournal of neural engineering2014
Cursor control by Kalman filter with a non-invasive body-machine interface.
Article in Journal of neural engineering, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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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
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- A survey of human shoulder functional kinematic representations.Medical & biological engineering & computing · 2019Pooled it
- Transient effects in corticospinal and reticulospinal tract excitability induced by motor skill and isometric resistance training.Brain research · 2026Article
- Static Versus Dynamic Decoding Algorithms in a Non-Invasive Body-Machine Interface.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2017Article
- Classification of Movement and Inhibition Using a Hybrid BCI.Frontiers in neurorobotics · 2017Article
- Body-Machine Interfaces after Spinal Cord Injury: Rehabilitation and Brain Plasticity.Brain sciences · 2016Article
- Upper Body-Based Power Wheelchair Control Interface for Individuals With Tetraplegia.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
objectiveWe describe a novel human-machine interface for the control of a two-dimensional (2D) computer cursor using four inertial measurement units (IMUs) placed on the user's upper-body. APPROACH: A calibration paradigm where human subjects follow a cursor with their body as if they were controlling it with their shoulders generates a map between shoulder motions and cursor kinematics. This map is used in a Kalman filter to estimate the desired cursor coordinates from upper-body motions. We compared cursor control performance in a centre-out reaching task performed by subjects using different amounts of information from the IMUs to control the 2D cursor. MAIN
resultsOur results indicate that taking advantage of the redundancy of the signals from the IMUs improved overall performance. Our work also demonstrates the potential of non-invasive IMU-based body-machine interface systems as an alternative or complement to brain-machine interfaces for accomplishing cursor control in 2D space. SIGNIFICANCE: The present study may serve as a platform for people with high-tetraplegia to control assistive devices such as powered wheelchairs using a joystick.
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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.