Lifelong learning in human activity recognition with evolvable NLP techniques

This project visions to turn sensor-based human activity recognition as a NLP (natural language processing) problem; where we learn an activity pattern as a sentence that is constructed by a sequence of sensor events. With this, we can predict the next sensor event based on observed events and also more importantly we can perform lifelong […]

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Visualisting wearable sensor data for convolutional neural networks

This project aims to design and develop different visualisation mappings to transform sensor data into images so that they can be processed by convolutional neural networks (CNN). The visualisation mapping will focus on how to visualise time-series data to be processed and classified by a CNN. The purpose is to find the best mapping to […]

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Learning to learn and extend with meta-learning

Traditionally, machine learning algorithms are designed to receive a fixed dataset as an input and after training the model will stay the same. However, in real world applications, the machine learning models often need to evolve with a constantly changing dataset that increases with new training examples. The main challenge is to tackle catastrophic forgetting; […]

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Visualisation toolkit to bridge data and deep learning

This project aims to design and develop a web application to visualise sensor data, which will be processed and analysed by deep learning techniques, including convolutional neural networks and RNNs. The feedback from the deep learning techniques, such as the prediction accuracy, will help human to evaluate the quality of data and effectiveness of the […]

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Ambient intelligence with sensor networks

Sensor networks are widely employed for monitoring purposed. One of its application is to monitor enclosed indoor environments, say a household or office, and map the collected sensor data against the ongoing human activity events.  This project mainly involves two tasks: sensor deployment and data collection; and sensor data analysis. The sensor system forms a […]

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