Advanced search
Showing result 1 - 5 of 13 essays matching the above criteria.
-
1. Developing a portable, customizable, single-channel EEG device for homecare and validating it against a commercial EEG device
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : There are several commercial electroencephalography (EEG) devices on the market; however, affordable devices are not versatile for diverse research applications. The purpose of this project was to investigate how to develop a low-cost, portable, single-channel EEG system for a research institute that could be used for neurofeedback-related applications in homecare. READ MORE
-
2. Let Us Put Our Brains in the Spotlight – Literally!
University essay from Lunds universitet/Examensarbeten i molekylärbiologiAbstract : Neurons are the working force in each vertebrate’s nervous system. These small cells have the important task of transferring information in the form of electrical charges called action potentials. Neurons make it possible for us to sense touch, process our environment, and store memory. READ MORE
-
3. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. READ MORE
-
4. FPGA Implementation of the ORB Algorithm
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Image feature extraction has become a key technology in the field of autonomous Artificial Intelligence. The algorithm Oriented FAST and Rotated BRIEF (ORB), uses established technologies in image processing to allow a computer to ”see” and navigate its surroundings. READ MORE
-
5. A Hardware Accelerated Low Power DSP for Recurrent Neural Networks
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Recurrent neural networks (RNNs) have become a dominating player for processing of sequential data such as speech and audio. The reason for this, is the high accuracy that can be achieved with the more complex variants, such as the gated recurrent unit (GRU). READ MORE