Ehsan Tarkesh Esfahani

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Brain-computer interfaces (BCI) are recent developments in alternative technologies of user interaction. The purpose of this paper is to explore the potential of BCIs as user interfaces for CAD systems. The paper describes experiments and algorithms that use the BCI to distinguish between primitive shapes that are imagined by a user. Users wear an(More)
—In this paper, a walking pattern filter for shape-memory-alloy (SMA)-actuated biped robots is presented. SMAs are known for their high power-to-mass ratio as well as slow response. When used as actuators, the SMA speed limitation can potentially lead to stability problems for biped robots. The presented filter adapts the human motion such that an SMA biped(More)
This paper discusses the use of a brain computer interface (BCI) to obtain emotional feedback from a human in response to the motion of humanoid robots in collaborative environments. The purpose of this study is to detect the human satisfaction level and use it as a feedback for correcting and improving the behavior of the robot to maximize human(More)
Research in brain-computer interfaces have focused primarily on motor imagery tasks such as those involving movement of a cursor or other objects on a computer screen. In such applications , it is important to detect when the user is interested in moving an object and when the user is not active in this task. This paper evaluates the steady state visual(More)
The Shape Memory Alloy is a lightweight, compact and biocompatible actuation mechanism which is considered here to replace the current actuation technologies in assistive locomotion devices. This paper is aimed toward the development of an adaptive robust controller to deal with control problems in the actuation of shape memory alloys (SMA). In this(More)
The aim of this paper is to explore a new multimodal Computer Aided Design (CAD) platform based on brain-computer interfaces and touch based systems. The paper describes experiments and algorithms for manipulating geometrical objects in CAD systems using touch-based gestures and movement imagery detected though brain waves. Gestures associated with touch(More)
This paper presents a method for planning three-dimensional walking patterns for biped robots in order to obtain stable smooth dynamic motion and also maximum velocity during walking. To determine the rotational trajectory for each actuator, there are some particular key points gained from natural human walking whose value is defined at the beginning, end(More)
OBJECTIVE To investigate the utility of cognitive assessment during robot-assisted surgery (RAS) to define skills in terms of cognitive engagement, mental workload, and mental state; while objectively differentiating between novice and expert surgeons. SUBJECTS AND METHODS In all, 10 surgeons with varying operative experience were assigned to beginner(More)
Shape memory alloy (SMA) actuators can be made very compact and simple. An effective control algorithm is an integral part of every SMA actuator. This article presents a review of the state of the art research on control of SMA systems. It is worth noting that almost exclusively all control systems applied to SMA actuators are not model-based control(More)