Tongue-Controlled Hand Exoskeleton Achieves 96% Grasping Success

Researchers have presented a noninvasive, tongue-controlled hybrid hand system for people with cervical spinal cord injury. Combining a soft exoskeleton, tendon-driven flexion of all five fingers, and tongue-triggered functional electrical stimulation (FES), it supported daily-living grasps in a study of five users. Details of this study were published in npj Robotics.

A futuristic image of a robotic hand reaching out to a human hand, symbolizes data protection. This blend of technology and humanity of the data protection between human and robotic interactions.
Study: A tongue-controlled FES-robotic exoskeleton restores hand function in users with cervical spinal cord injury. Image Credit: Rawpixel.com

The Search for Better Hand Control

Spinal cord injuries affect over 20 million people worldwide, and cervical injuries often severely impair hand function, impacting the self-sufficiency of those affected.

Recent work has enabled hand movement through robotic exoskeletons and FES, while tongue-based interfaces have offered reliable, unobtrusive command input and remained functional after high-level injury.

However, key gaps remain in achieving reliable, non-invasive control for severe paralysis, enabling safe, dexterous hand opening and closing without added complexity, and mitigating FES-induced fatigue.

No tongue-based interface had yet been used to trigger FES or enable multiple grasps via a hand exoskeleton. This study addresses this with a non-invasive tongue-controlled hybrid FES-robotic hand exoskeleton.

Designing and Testing a Hybrid System

Five users with tetraplegia were recruited through clinicians at a spinal cord injury center in Western Denmark. Eligible participants were aged 18 to 75, had reduced or absent right arm motor function

from spinal cord injury, and could not repeatedly grasp and drink from a bottle while seated. Each had at least some tongue function.

The tongue interface sat in a custom dental retainer fitted to each participant's palate. A small titanium sphere on a wire frame acted as the activation unit, moved by the tongue across a grid of 15 inductive sensors to select commands. Sensor data was transmitted wirelessly to a central unit, then to a computer, which estimated the activation unit's position and drove the exoskeleton.

The hand exoskeleton was an adapted commercial soft glove, modified from three fingers to five and controlled to flex each finger independently by tendon. Force sensors at the fingertips detected object contact.

A passive-opening version added elastic wires on the backs of the fingers for extension, allowing comparison between two configurations: one with stimulation-driven opening and one with passive opening.

Stimulation used two constant current stimulators delivering brief pulses to the forearm extensor muscles. It was limited to finger extension and capped at two seconds to prevent fatigue.

Experiments were conducted over two consecutive days, starting with training and baseline testing without the exoskeleton, followed by grasping and force tasks with both configurations, and ending with a custom nine-item questionnaire.

Improved Grasping, Minimal Reported Discomfort

Without the exoskeleton, participants had limited or no ability to grasp independently. Two could lift light objects using wrist extension as a compensatory strategy, but performance was inconsistent, and none could reliably perform all grasp types.

One participant showed no observable arm or finger movement and could not grasp any object, and no participant could perform the pointing gesture.

With the exoskeletons, all five participants completed the tasks with high success. Overall success was 96% with the stimulation-driven opening exoskeleton and 89% with the passive-opening version.

Average completion times were similar, around 13 seconds for both. No participant required increased stimulation amplitude across trials, and no finger hyperextension was observed; extension was sufficient to release objects even for users with long-term injuries.

Saving this for later? Download a free copy now!

Questionnaire ratings favored the stimulation-driven opening exoskeleton for donning and doffing, willingness to use, and task difficulty. All participants reported the lowest possible discomfort and pain, and all but one reported the lowest fatigue.

Both exoskeletons significantly increased pinch and grasp forces compared with no exoskeleton. The difference between the two configurations was not statistically significant, though grasp forces trended higher with stimulation-driven opening.

The Promise and Limitations of Hybrid Assistance

The design separates roles, with the exoskeleton producing finger flexion and stimulation producing finger extension. This differs from typical hybrid systems where both act on the same joints.

By limiting stimulation to brief extension phases rather than continuous use, the approach lowers the risk of fatigue and keeps the system compact. The glove weighs 125 g on the hand, less than most comparable systems, though the full system, including control units, weighs about 1.155 kg.

The authors acknowledge that completion times of about 12 to 13 seconds remain higher than typical daily activities, though they include components beyond device actuation and are expected to decrease with training. They also note that fatigue ratings reflect perceived experience rather than measured physiological fatigue, and that objective fatigue assessment was not performed.

Limitations include a small sample size and portability constraints due to external hardware such as stimulators. Setup requires careful electrode placement and calibration for each individual.

Assistance is still needed for donning and doffing, and fingertip-only sensors meant that grasp detection sometimes relied on tendon force. The authors therefore suggest future work on additional sensors, shorter setup times, and possible therapeutic effects of stimulation.

Toward Restoring Everyday Hand Independence

This small study suggests that a tongue-controlled hybrid system can help people with cervical spinal cord injury perform everyday grasps while wearing it, including participants with long-term paralysis. 

By pairing a soft exoskeleton for finger flexion with tongue-triggered stimulation for extension, the design enabled daily-living grasps with high success and low fatigue, while users rated it favorably for comfort and ease of use.

Journal Reference

Kirtas, O., et al. (2026). A tongue-controlled FES-robotic exoskeleton restores hand function in users with cervical spinal cord injury. Npj Robotics, 4(1). DOI:10.1038/s44182-026-00117-9. https://www.nature.com/articles/s44182-026-00117-9.

Disclaimer: The views expressed here are those of the author expressed in their private capacity and do not necessarily represent the views of AZoM.com Limited T/A AZoNetwork the owner and operator of this website. This disclaimer forms part of the Terms and conditions of use of this website.

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Nandi, Soham. (2026, October 22). Tongue-Controlled Hand Exoskeleton Achieves 96% Grasping Success. AZoRobotics. Retrieved on October 22, 2026 from https://www.azorobotics.com/News.aspx?newsID=16505.

  • MLA

    Nandi, Soham. "Tongue-Controlled Hand Exoskeleton Achieves 96% Grasping Success". AZoRobotics. 22 October 2026. <https://www.azorobotics.com/News.aspx?newsID=16505>.

  • Chicago

    Nandi, Soham. "Tongue-Controlled Hand Exoskeleton Achieves 96% Grasping Success". AZoRobotics. https://www.azorobotics.com/News.aspx?newsID=16505. (accessed October 22, 2026).

  • Harvard

    Nandi, Soham. 2026. Tongue-Controlled Hand Exoskeleton Achieves 96% Grasping Success. AZoRobotics, viewed 22 October 2026, https://www.azorobotics.com/News.aspx?newsID=16505.

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type
Submit

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.