Determining motions with an IMU during level walking and slope and stair walking.

TL;DR: This study analysed data collected from six body locations to determine which locations exhibit significant variation across different real-world irregular surfaces, and used deep learning method to verify whether the IMU data recorded from the identified body locations could classify walk patterns across the surfaces.

TL;DR: A simple machine learning method was used to quantify the performance of the discrimination between three self-selected cyclical locomotion types using accelerometers placed at frequently referenced attachment locations, which could successfully discriminate between gait modalities with 91% accuracy at the sacrum, 90% at the shanks and 87% atThe thighs.

TL;DR: This study analyzes 1210 documents on wearable devices in sports, revealing research trends, power distribution, and hotspots, with the US leading research, followed by North America and Europe, and highlighting the need for improved research quality in Asia, particularly in China.

TL;DR: Using this search algorithm, the program AlphaGo achieved a 99.8% winning rate against other Go programs, and defeated the human European Go champion by 5 games to 0.5, the first time that a computer program has defeated a human professional player in the full-sized game of Go.

TL;DR: It appears that adaptations followed somewhat of a velocity-specific pattern with broader transfer from the JS30, and JS80 improved peak force and PP in slower/heavier -load jump-squat testing, increased 1RM squat but led to a slower 20-m sprint.

TL;DR: A multi-tier telemedicine system that performs real-time analysis of sensors' data, provides guidance and feedback to the user, and can generate warnings based on the user's state, level of activity, and environmental conditions is introduced.

TL;DR: In this paper, the authors apply convolutional deep belief networks to audio data and empirically evaluate them on various audio classification tasks and show that the learned features correspond to phones/phonemes.