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Engineer Develops Robotic Glove that uses AI to boost Muscle Grip

An engineer from Edinburg has developed a robotic glove that uses artificial intelligence (AI) to strengthen muscle grip. The idea came into inception after Ross O’Hanlon pitied his aunt who suffers from multiple sclerosis. 
O’Hanlon is quoted by BBC saying that: “Being an engineer, I decided to use technology to tackle the challenges ahead with the aim of helping people like my aunt to retain their autonomy.”
His aunt struggled to do simple tasks like changing the TV channel or handling a glass of water. The glove will help many individuals with hand weaknesses. The wearers intention to grip is detected by the glove through a process referred as electromyography (EMT).
EMT measures the electrical process that is developed in response to simulation of the muscle by the nerves. An algorithm is then deployed to convert the intention to grip into force, enabling the person with hand weakness to hold an item or do some other tasks.
According to BBC, about 2.5 million of people in UK suffer from hand weaknesses resulting from ailments like multiple sclerosis, carpal tunnel syndrome and motor neuron disease.
O’Hanlon and his team’s prototype will be supported by Edinburg Business School Incubator. Edinburg Business School Incubator is accredited for supporting early-stage businesses and O’Hanlon terms the secured support as a “huge boost.”
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