Smart glove allows users to mimic in-game controls using simple hand gestures

Simply flex your index finger to fire your weapon and rotate your wrist clockwise to move forward. Immersive controls have always been a pipedream in the world of gaming but is steadily becoming reality.

A team of researchers from the National University of Singapore (NUS), led by Professor Lim Chwee Teck, has developed a smart glove - called 'InfinityGloveTM' - that allows users to mimic a variety of in-game controls using simple hand gestures.

While the concept of controlling a game using your hands is not new, the main problems have always been weight and flexibility. The current generation of smart glove type controllers available on the market are usually bulky and rigid as they rely on conventional sensors which put the hard in hardware.

The InfinityGloveTM, overcomes existing problems with weight and flexibility by weaving ultra-thin, highly sensitive microfibre sensors into the material of the glove.

These sensors are not only lightweight and accurate, but also fulfil the role of wires thus reducing the need for additional wiring. Currently, the prototype weighs about 40 grams, and is flexible and comfortable.

Precise and quick gesture-based remote control

Currently, each InfinityGloveTM contains a total of five thread-like sensors, one for each finger. This network of sensors can interface with the game software to produce accurate three-dimensional (3D) positions of a moving hand.

Various gestures made by the user's hands are then mapped to specific inputs that are found on a regular controller. To date, the team has mapped a total of 11 inputs and commands which will allow users to play games such as Battlefield V.

The application of this microfibre sensor technology is the breakthrough innovation that enables the InfinityGloveTM to accurately map finger gestures for human-machine interaction. The sensor is made up of a thin and stretchable rubber-like microfibre, about the same thickness as a strand of human hair, that is filled with a conductive liquid metal.

A small electric current runs through the conductive liquid metal, creating an electrical reading signal that changes when the fibres are bent and as the liquid metal is displaced.

This microfibre sensor was developed by the team back in 2017 and was previously used to measure pulse and bandage pressure, but they have since adapted it for the smart glove by improving the strain sensing capabilities.

When linked up to the team's proprietary software, the sensors can rapidly translate the gestures via electrical signals into command inputs at a speed that is almost the same as pressing a button on the keyboard. The InfinityGloveTM can be wirelessly connected to a computer and is lightweight.

Redefine gaming, rehabilitation and robotic control

The team took two years to develop a working prototype of the InfinityGloveTM and is also producing the microfibre sensors commercially for other applications.

We were very much inspired by the need to remotely control tasks with just hand gestures. Current commercially available technology is not very responsive and causes a strain on the user's hands after prolonged use due to their bulky setup. We envision that gesture-based control using our lightweight smart gloves can bring us one step closer to a truly immersive interface between humans and machines."

Lim Chwee Teck, Professor and Director, National University of Singapore Institute for Health Innovation & Technology

Other applications for the InfinityGloveTM include hand rehabilitation for patients as gamification motivates patients to continue their hand exercise regimes through immersive play, and medical professionals can track the progress of their patient's joint movements at the same time.

The NUS team's next steps include extending the glove's capabilities into the world of virtual reality, complex games and robotic control. This technology is being commercialised by a NUS start-up, Microtube Technologies, co-founded by Prof Lim and his team members, Dr Yeo Joo Chuan and Dr Yu Longteng.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

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.

You might also like...
Utilizing process Raman in optimizing cultivated meat production