Lane Change Intention Recognition Models Using Hidden Markov Models and Relevance Vector Machines

The development of intelligent vehicle and autonomous driving asked a higher requirement of ADAS on its functionality. Currently, ADAS systems are able to detect and segment urban and highway driving scenes. They cannot, in general, extract ’meaning’ from this segmentation yet. Learning the intention of other road users will help ADAS understand...

Automatic Generation of Legally and Ethically Correct Email Replies

In this paper, we will explain how our research into a classified field resulted in the creation of an entity recognizer that can recognize 10 different characteristics, and an intent classifier which is able to classify 21 different intents and automatically generate a response to incoming emails. This is all done within legal and ethical...

Locomotion Intent Recognition Using a Multimodal Sensor Fusion Approach

An estimated 40,000 people have trauma related above knee amputations in the United States alone. A transfemoral prosthesis is an artificial limb that replaces the amputated limb. Although trauma related amputations are going down annually, there is still the need for prostheses that are capable of restoring normal biological knee function....

Control strategies for active lower extremity prosthetics and orthotics: A review

Technological advancements have led to the development of numerous wearable robotic devices for the physical assistance and restoration of human locomotion. While many challenges remain with respect to the mechanical design of such devices, it is at least equally challenging and important to develop strategies to control them in concert with the...