We present experimental data for an ankle exoskeleton device that provides a metabolic benefit during running. Intuitively, there is an optimal level of power than any particular human can accept and use to benefit walking or running, which is a function of both the particular human and selected gait speed. In this paper, we will present theoretical modeling results to explain recent data for t...

We present experimental data for an ankle exoskeleton that provides a metabolic benefit during running. Intuitively, there is an optimal level of power that any particular human can accept and use to benefit walking or running, which is a function of the particular human, the selected gait, and speed. We provide and discuss modeling optimization results to complement our recent data for the dev...

A capillary electrophoresis method was used for assay of some degradation products of carvedilol. The optimized parameters were as; running buffer 80 mM acetate dissolved in methanol/ethanol mixture (65:35 v/v), applied voltage of 19 kV, temperature is 20 ºC and the wavelength range of 200-350 nm. The results indicate that the proposed CE method could effectively separate carvedilol from its de...

In this paper we present a system that could be used to help people with walking disabilities. A system consists of a prototype mobile robot platform equipped with a control board and a remote computer system, running with image processing algorithms, was used to develop a system for physically disabled human to move freely in an environment. We used a camera to get visual information by a huma...

The need for customizable properties in autonomous robotic platforms, such as in-home nursing care for the elderly and parallel implementations of human-to-machine control interfaces creates an opportunity to introduce methods deploying commonly available mobile devices running robotic command applications in managed code. This paper will discuss a human-to-machine interface and demonstrate a p...

For intelligent surveillance, one of the major tasks to achieve is to recognize activities present in the scene of interest. Human subjects are the most important elements in a surveillance system and it is crucial to classify human actions. In this paper, we tackle the problem of classifying human actions as running or walking in videos. We propose using local temporal features extracted from ...