Physical activity (PA) positively impacts the quality of life of older adults, with technology as a
promising factor in maintaining motivation. Within Computer Science and Engineering …

Wearable technology has added a whole new dimension to already rich field of personal
gadgets. It was the mobile phone which truly made gadgets personal. With so many services …

As a biological characteristic, gait uses the posture characteristics of human walking for
identification, which has the advantages of a long recognition distance and no requirement …

Human fall due to an accident can cause heavy injuries which may lead to a major medical
issue for elderly people. With the introduction of new advanced technologies in the …

With the growing number of silver hair people, they cannot ignore the care system, fall is one
of the important causes of death from accident injury. If the fall is not detected in time, the …

In the new era of technology with the development of wearable sensors, it is possible to
collect data and analyze the same for recognition of different human activities. Activity …

Human posture classification plays important role in number of applications including elderly
monitoring, workplace ergonomics, sleeping patterns studies, sports, fall detection, etc …

In this paper, a contextual anomaly event detection method is presented using a new clips
boundaries detection approach and Bayesian classifier. Fall event is considered as anomaly …

This paper proposes an edge computing architecture for Human Activity Recognition (HAR)
based on Raspberry Pi and HaaS100, aimed at enhancing real-time performance and …

Wearable activity tracking systems have the potential to support older adults to remain or
become more physically active, and physical activity plays an important role in promoting …