ArticleFrontiers in human neuroscience2017
Reaching and Grasping a Glass of Water by Locked-In ALS Patients through a BCI-Controlled Humanoid Robot.
Article in Frontiers in human neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Brain-computer interface: an update for the clinicians.Frontiers in human neuroscience · 2026Review
- Innovation, Adaptation, and Human Dignity in Assistive Robotics in Amyotrophic Lateral Sclerosis: A Rehabilitation Medicine Perspective.Journal of biotechnology and biomedicine · 2026Article
- Utility of Electroencephalograms for Enhancing Clinical Care and Rehabilitation of Children with Acquired Brain Injury.International journal of environmental research and public health · 2024Review
- Development of a humanoid robot control system based on AR-BCI and SLAM navigation.Cognitive neurodynamics · 2024Article
- Neural interfaces: Bridging the brain to the world beyond healthcare.Exploration (Beijing, China) · 2024Article
- A Brain-Controlled Quadruped Robot: A Proof-of-Concept Demonstration.Sensors (Basel, Switzerland) · 2023Article
- Sparse Logistic Regression-Based EEG Channel Optimization Algorithm for Improved Universality across Participants.Bioengineering (Basel, Switzerland) · 2023Article
- FB-CCNN: A Filter Bank Complex Spectrum Convolutional Neural Network with Artificial Gradient Descent Optimization.Brain sciences · 2023Article
- A Human-Machine Interface Based on an EOG and a Gyroscope for Humanoid Robot Control and Its Application to Home Services.Journal of healthcare engineering · 2022Article
- Humanoid Robot Walking in Maze Controlled by SSVEP-BCI Based on Augmented Reality Stimulus.Frontiers in human neuroscience · 2022Article
- Acceptance of Enhanced Robotic Assistance Systems in People With Amyotrophic Lateral Sclerosis-Associated Motor Impairment: Observational Online Study.JMIR rehabilitation and assistive technologies · 2021Article
- Biosignal-Based Human-Machine Interfaces for Assistance and Rehabilitation: A Survey.Sensors (Basel, Switzerland) · 2021Review
- Progress in Brain Computer Interface: Challenges and Opportunities.Frontiers in systems neuroscience · 2021Review
- New technologies and Amyotrophic Lateral Sclerosis - Which step forward rushed by the COVID-19 pandemic?Journal of the neurological sciences · 2020Review
- Brain-Computer Interface-Based Humanoid Control: A Review.Sensors (Basel, Switzerland) · 2020Review
- Analysis of Prefrontal Single-Channel EEG Data for Portable Auditory ERP-Based Brain-Computer Interfaces.Frontiers in human neuroscience · 2019Article
- Communication Matters-Pitfalls and Promise of Hightech Communication Devices in Palliative Care of Severely Physically Disabled Patients With Amyotrophic Lateral Sclerosis.Frontiers in neurology · 2018Review
- Acceptability Study of A3-K3 Robotic Architecture for a Neurorobotics Painting.Frontiers in neurorobotics · 2018Article
- EEG Recording and Online Signal Processing on Android: A Multiapp Framework for Brain-Computer Interfaces on Smartphone.BioMed research international · 2017Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Locked-in Amyotrophic Lateral Sclerosis (ALS) patients are fully dependent on caregivers for any daily need. At this stage, basic communication and environmental control may not be possible even with commonly used augmentative and alternative communication devices. Brain Computer Interface (BCI) technology allows users to modulate brain activity for communication and control of machines and devices, without requiring a motor control. In the last several years, numerous articles have described how persons with ALS could effectively use BCIs for different goals, usually spelling. In the present study, locked-in ALS patients used a BCI system to directly control the humanoid robot NAO (Aldebaran Robotics, France) with the aim of reaching and grasping a glass of water. Four ALS patients and four healthy controls were recruited and trained to operate this humanoid robot through a P300-based BCI. A few minutes training was sufficient to efficiently operate the system in different environments. Three out of the four ALS patients and all controls successfully performed the task with a high level of accuracy. These results suggest that BCI-operated robots can be used by locked-in ALS patients as an artificial alter-ego, the machine being able to move, speak and act in his/her place.
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Registered trials
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