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TUM develops soft glove for people with paralysed hands

Researchers at the Technical University of Munich have developed a hand exoskeleton that assists people with paralysed hands in grasping objects. The system combines a pneumatic fabric glove with sensors attached to the forearm muscles and machine learning techniques. The aim is to recognise a person’s intention to grasp an object at an early stage and to automatically assist the movement.
06/07/2026

The glove features air cushions that can move individual fingers and the wrist in a targeted manner. This allows everyday objects such as glasses, plates or cutlery to be gripped and held securely. The intention to grip is detected via electrical signals from the forearm muscles. According to the research team, the system recognises these signals with an accuracy of up to 97 per cent. Additional motion sensors ensure that the grip remains stable during a carrying movement. The technology was tested, amongst others, on a patient suffering from ALS. Despite severely limited mobility, he was able to grasp a fork independently for the first time in four years. According to the researchers, just a few minutes’ training is enough to significantly improve control. Alongside the technical development, the focus is also on practical applicability. The glove is made from low-cost materials and is therefore intended to be accessible to as many people as possible. The research team is already working on adapting the concept to other conditions such as strokes or peripheral nerve damage.

News from the "Technical University of Munich" dated 6 July 2026

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