![]() In the same way, the new adaptive wearable sends feedback to different parts of your hand to indicate optimal motions to execute different skills. For example, if you press down on an iPhone app, you’ll feel a slight vibration coming from that specific part of your screen. This technology is present in smartphones, where haptic responses are triggered by tapping on the touch screen. To create their smart glove, the researchers used a digital embroidery machine to seamlessly embed tactile sensors and haptic actuators (a device that provides touch-based feedback) into textiles. The new system could potentially help teach people physical skills, improve responsive robot teleoperation, and assist with training in virtual reality.Īn open-access paper describing the work was published in Nature Communications on Jan. To complement the wearable device, the team also developed a simple machine-learning agent that adapts to how different users react to tactile feedback, optimizing their experience. To tap into this challenge, researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and elsewhere developed an embroidered smart glove that can capture, reproduce, and relay touch-based instructions. Being able to understand tactile interactions is especially important for tasks such as learning delicate surgeries and playing musical instruments, but unlike video and audio, touch is difficult to record and transfer. You’ve likely met someone who identifies as a visual or auditory learner, but others absorb knowledge through a different modality: touch.
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