Signal-processing of audio for speech-recognition

The transcription of voice using neural networks is a technique that deserves attention, as speech assistants are becoming increasingly popular. Neural networks have often difficulty with determining the differences between a talking person and noise. Humans have a much better understanding of this and could possibly apply their knowledge of the...

CMOS Image Sensor Design Methodology Applied to Optical Tomography and Neural Networks

Imaging sensors are remarkable devices which are able to capture moments and present them in a form available to us for years to come. With the use of material properties and photon particles, charges can be produced which, in combination with electric circuitry, transform into information understandable to the human eye and eventually the brain...

A Sensor Data Fusion Algorithm for Human Motion Estimation

In the elderly population, falls are one of the major causes of injuries. Fall detection algorithms for wearable devices in the literature were found to focus on differentiating Activities of Daily Living (ADL) from falls, rather than on early fall detection and prevention before impact. This thesis work was aimed at providing accurate estimates...