Abstract Systems of sensor human activity recognition are becoming increasingly popular in
diverse fields such as healthcare and security. Yet, developing such systems poses inherent …

Getting out of bed and ambulating without supervision is identified as one of the major
causes of patient falls in hospitals and nursing homes. Therefore, increased supervision is …

Falls in hospitals are common, therefore strategies to minimize the impact of these events in
older patients and needs to be examined. In this pilot study, we investigate a movement …

Automatic fluid intake monitoring can be used to ensure adequate hydration in older people.
In this study, a real-time fluid intake monitoring system based on the batteryless Ultra High …

Aging populations are increasing worldwide and strategies to minimize the impact of falls on
older people need to be examined. Falls in hospitals are common and current hospital …

Human activity recognition based on generated sensor data plays a major role in a large
number of applications such as healthcare monitoring and surveillance system. Yet …

Recent emergence of small, lightweight, batteryless (passive), and therefore maintenance
free, wearable computing platforms such as sensor enabled RFID (Radio Frequency …

Multi-activity recognition in the urban environment is a challenging task. This is largely
attributed to the influence of urban dynamics, the variety of the label sets, and the …

Rapidly emerging batteryless sensors are creating tremendous opportunities for truly
wearable sensors for activity recognition. However, data streams from such sensors are …

Falls are common among older people, especially in hospitals and nursing homes. The
combination of pervasive sensing and statistical learning methods is creating new …