Deep Learning System for User Identification Using Sensors on Doorknobs.

Door access control systems are important to protect the security and integrity of physical spaces. Accuracy and speed are important factors that govern their performance. In this paper, we investigate a novel approach to identify users by measuring patterns of their interactions with a doorknob via an embedded accelerometer and gyroscope and by applying deep-learning-based algorithms to these measurements.

Salvage brachytherapy for locally-recurrent prostate cancer after radiation therapy: A comparison of efficacy and toxicity outcomes with high-dose rate and low-dose rate brachytherapy.

Background: Brachytherapy (BT) is widely used for salvage therapy in patients with biochemical failure (BF) after radiotherapy for prostate cancer (PCa). Although low-dose-rate (LDR) and high-dose-rate (HDR) BT are both used for salvage therapy, it is not clear whether there are any differences between these two approaches in terms of efficacy or toxicity in this setting. Therefore, we review the institutional experience of the members of the Urological Tumour Working Group (URONCOR) of the Spanish Society of Radiation Oncology (SEOR) to compare these two techniques.

Open source platform for collaborative construction of wearable sensor datasets for human motion analysis and an application for gait analysis.

Nearly every practical improvement in modeling human motion is well founded in a properly designed collection of data or datasets. These datasets must be made publicly available for the community could validate and accept them. It is reasonable to concede that a collective, guided enterprise could serve to devise solid and substantial datasets, as a result of a collaborative effort, in the same sense as the open software community does.