When your arm moves inside a loose shirt, the fabric does not simply follow along. It ripples, folds, and shifts in ways that exaggerate motion. Those subtle distortions, long treated as measurement errors, may actually carry more useful information than the movement of the body itself. That idea sits at the center of new research from King’s College London, published in Nature Communications, which challenges a basic assumption behind modern motion tracking. Sensors do not have to be tight against the skin to work well. In many cases, they perform better when attached to loose clothing. The findings suggest a different future for wearable technology, one that could make health monitoring devices less intrusive while improving accuracy across fields ranging from medicine to robotics. Researchers found that sensors attached to loose fabric predicted and captured human movement with about 40 percent greater accuracy while requiring roughly 80 percent less data than sensors fixed directly to the body. Stages of human movement recognition and prediction. (CREDIT: Nature Communications) Dr Matthew Howard, a reader in engineering at …