在人类活动识别的应用环境中, 从原始传感器数据中提取更加有效的特征仍具有挑战性.
针对该问题, 利用离散小波变换(Discrete wavelet transform, DWT) 和变分模式分解(Variational …

With the fast development of mobile computing and huge market of health industry, health
monitoring based on wearable sensors or smartphones in a ubiquitous way has become …

Human activity recognition (HAR) has a wide range of applications in medical care, elderly
care and so on. Due to the development of wearable sensor technology, HAR based on …

In this paper, we propose a novel design to reduce the number of sensors used in activity
recognition and fall detection by using empirical mode decomposition (EMD) along with …

With the ever-increasing sensor types and complexity in the field of activity recognition,
proper multi-sensor configuration system is essential to balance the recognition …

Physical activity recognition through wearables has enabled the development of novel
applications in healthcare. Most of the existing studies focus on predicting activities using …

摘要(中) 在氣候變遷威脅及人為高度發展下, 水資源短缺且分配不均, 臺灣近年來旱災事件頻率
越加頻繁且嚴重, 面對旱災缺水的危機, 解析地下水時空變異特性是必要, 建立旱災風險的預警與 …

In recent times, advancements in pervasive computing have progressed the real-time
monitoring of personal life-logs in the indoor-outdoor environment. These advancements …

Human activity recognition is a crucial task in several modern applications based on the
Internet of Things (IoT) paradigm, from the design of intelligent video surveillance systems to …

On-field sensor-based soccer player tracking solutions are emerging and provide new
insights into the dynamics of the player during training or a match. Yet, not all player …