Thomas Johnson

Nottingham Trent University | NTU · Department of Computer Science

Smart Farming is a progressive domain marked by extensive research and solutions. The predominant approach involves the use of LPWANs for communication, with subsequent data transfer to a cloud server once Internet connectivity is established. In this letter, we present the design and development of a novel smart farming sensor system that combines...

The devastating effects of climate change and human activity on the planet’s biodiversity have led to a mass extinction event, which is when species vanish much faster than they are replaced. This is defined as about 75 percent of the world’s species being lost in a short period of geological time—less than 2.8 million years [1]. The Eden Portland...

As the research community increasingly focuses on quantifying emotional states in real-world scenarios, there is a growing need for edge computing. In this work, we present a novel approach to on-device emotion classification through the development of a low-cost hand-held device. This device incorporates a range of environmental air quality factor...

The ubiquity of mobile sensing and smartphone capabilities offer a significant opportunity to obtain real-world sensor data and momentary mental wellbeing fused at the point of exposure. In this paper, we present the design, implementation and evaluation and user experiences of Urban Wellbeing; a cross-platform mobile application, which aids in qua...

The increasing level of air pollutants (e.g. particulates, noise and gases) within the atmosphere are impacting mental wellbeing. In this poster, we define the term 'TinyDigitalExposome' that takes us closer towards understanding the opportunity between environment and wellbeing using constrained microcontrollers. Specifically, we propose the oppor...

The increasing level of air pollutants (e.g. particulates, noise and gases) within the atmosphere are impacting mental wellbeing. In this paper, we define the term ’DigitalExposome’ as a conceptual framework that takes us closer towards understanding the relationship between environment, personal characteristics, behaviour and wellbeing using multi...

In this letter, we present the development and evaluation of the Urban Wellbeing mobile application that employs real-world, momentary assessment of the environment and it's link to wellbeing using multi-model sensor data and self-report wellbeing. Several industry standard environmental sensors comprised of Particulate Matter, Ozone and Nitrogen...

The ubiquity of location tracking on smartphones allows us to monitor, collect, and analyse large trajectory data in real-time. Time series classification and clustering is an efficient way to analyse trajectories. A remarkable amount of research on the relationship between urban environments, health or wellbeing has been conducted including our pr...

The proliferation of miniaturized electronics has fuelled a shift toward environmental sensing technologies ranging from pollution to weather monitoring at higher granularity. However, little consideration has been given around the relationship between environmental stressors (e.g. air pollution) and mental wellbeing. In this paper, we aim at captu...

The increasing level of air pollutants (e.g. particulates, noise and gases) within the atmosphere are impacting mental wellbeing. In this paper, we define the term ’DigitalExposome’ as a conceptual framework that takes us closer towards understanding the relationship between environment, personal characteristics, behaviour and wellbeing using multi...

The novel coronavirus, designated by the World Health Organization as COVID-19 has required many countries around the world to close work spaces, schools and public venues. This has required policy makers and venue managers to investigate practical mitiga-tion strategies using technology to exit the lockdown safely and enable the reopening of publi...

The growth of mobile sensor technologies have made it possible for city councils to understand peoples' behaviour in urban spaces which could help to reduce stress around the city. We present a quantitative approach to convey a collective sense of urban places. The data was collected at a high level of granularity, navigating the space around a hig...