Activities of daily living are good indicators of elderly health status, and activity recognition in
smart environments is a well-known problem that has been previously addressed by several …

Purpose Mobile phone-based human activity recognition (HAR) consists of inferring user's
activity type from the analysis of the inertial mobile sensor data. This paper aims to mainly …

A lot of real-life mobile sensing applications are becoming available nowadays. The
traditional approach for activity recognition employs machine learning algorithms to learn …

Mobile phone based activity recognition uses data obtained from embedded sensors to infer
user's physical activities. The traditional approach for activity recognition employs machine …

Activities of Daily Living (ADLs), or a person's routine activities of self-care, are important
factors influencing the feasibility of home health care or aging in place for many individuals …

This article describes a new scheme for a physical activity recognition process based on
carried smartphone embedded sensors, such as accelerometer and gyroscope. For this …