摘要
机器人与机器学习的新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。根据来自瑞士伯尔尼的新闻报道，以及NewsRx记者的研究表明，“当前活动跟踪器中的运动确定软件的准确性不足以满足科学应用的需要，而这些应用也不是开源的。为了解决这个问题，我们开发了一个精确的、可训练的、可编程的开源的基于智能手机的活动跟踪工具箱T Hat包括一个Android应用程序(HumanActivityRecorder)和两个不同的深度学习算法，可以适应新的行为。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating in Bern, Switzerl and, by NewsRx journalists, research stated, “The accuracy of movement determina tion software in current activity trackers is insufficient for scientific applic ations, which are also not open-source. To address this issue, we developed an a ccurate, trainable, and open-source smartphone-based activity-tracking toolbox t hat consists of an Android app (HumanActivityRecorder) and 2 different deep lear ning algorithms that can be adapted to new behaviors.”
NETL
NSTL