Automated methods of real-time, unobtrusive, human ambulation, activity, and wellness
monitoring and data analysis using various algorithmic techniques have been subjects of …

This paper serves as a survey and empirical evaluation of the state-of-the-art in activity
recognition methods using accelerometers. The paper is particularly focused on long-term …

This paper presents the hardware and software design and implementation of a low-cost,
wearable, and unobstructive intelligent accelerometer sensor for the monitoring of human …

The emerging Internet of Things has the potential to solve major societal challenges
associated with healthcare provision. Low-power wireless protocols for residential Health …

The upcoming Internet of Things (IoT) applications include real-time human activity
monitoring with wearable sensors. Compared to the traditional environmental sensing with …

Human Activity Recognition (HAR) deals with the automatic recognition of physical activities
and plays a major role in the health and sports sector. Knowledge about the performed …

Quantifying the energy expended during physical activity is an important metric to evaluate
the quality and progress of individual training. There are several methods to estimate the …

Sensors available in a mobile device, eg, a smartphone, a smartwatch, or others, allow the
capture of several signals, that may be used to the estimation of the energy expenditure …

The main goal of this paper consists on the adaption and validation of a method for the
measurement of the energy expenditure during physical activities. Sensors available in a …

We have developed a wearable device that can convert sensor data into real-time step
counts. Sensor data on gait were acquired using a triaxial accelerometer. A test was …