Numerous learning-based techniques for effective human behavior identification have
emerged in recent years. These techniques focus only on fundamental human activities …

Human activity recognition (HAR) has attracted considerable research attention due to its
essential role in various domains, ranging from healthcare to security, safety, and …

Smart and connected health (SCH) accelerates the development and integration of
information science and engineering approaches to support the digital transformation of …

The fixed sliding window is the commonly used technique for signal segmentation in human
activity recognition (HAR). However, the fixed sliding window may not produce optimal …

Traditional indoor human activity recognition (HAR) has been defined as a time-series data
classification problem and requires feature extraction. The current indoor HAR systems still …

Smart devices, such as smartphones, smartwatches, etc., are examples of promising
platforms for automatic recognition of human activities. However, it is difficult to accurately …

Physical rehabilitation plays a critical role in enhancing health outcomes globally. However,
the shortage of physiotherapists, particularly in developing countries where the ratio is …

Given the wide range of sensor applications, pedestrian activity recognition research using
smartphone sensors has gained significant attention. Recognizing activities can yield …

Signal segmentation is a critical stage in activity recognition. Most existing studies adopted
the fixed-size sliding window method for this stage. However, the fixed-size sliding window …

The global rise in the elderly population, which presents challenges to healthcare systems
owing to labor shortages in caregiving facilities, necessitates innovative solutions for elderly …