Recognizing human activities and monitoring population behavior are fundamental needs of
our society. Population security, crowd surveillance, healthcare support and living …

Recently, the recent advancement of deep learning with the capacity to perform automatic
high-level feature extraction has achieved promising performance for sensor-based human …

A fundamental building block toward personalized location-based service and context-
aware service in smart buildings is the knowledge about the identity and mobility of users in …

Locating an inspection robot is an essential task for inspection missions and spatial data
acquisition. Giving a spatial reference to measurements, especially those concerning …

Data science augments manual data understanding with machine learning for potential
performance increase. In this paper, data science methodology is examined to enhance …

Nowadays, stationary and locomotion activity recognition, also known as SLAR, is becoming
increasingly important in a variety of domains, such as indoor localization, fitness activity …

Wearable intelligent systems that recognize the daily activities of humans have significantly
contributed to many useful applications. However, in practical wearable applications, the …

摘要将智能手机应用到跌倒检测中能为老年人监护工作, 护理人员提供方便和帮助.
基于智能手机的疑似跌倒检测可以更加准确地检测出老年人跌倒事件, 并且有效降低误报警给 …

K 近邻协同过滤推荐算法中的最优近邻参数 Page 1 2018 年第8 期 计算机与数字工程 收稿日期
:2018年2月7日,修回日期:2018年3月26日 基金项目:国家自然科学基金项目(编号:50405029)资助 …

In this digital age, human activity recognition (HAR) has been playing an increasingly
important role in almost all aspects of life. Healthcare systems for monitoring the activities of …