Eiman Kanjo

Nottingham Trent University | NTU · Department of Computer Science

In this paper we introduce "Tag in the Park", a mobile platform merging short-range wireless communication and Artificial Intelligence (AI) to create an interactive gamified experience through virtual treasure hunts. Central to this is a mobile app that revolves around the interaction with a network of Bluetooth Low Energy (BLE) beacons and Near Fi...

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...

Mental health problems constitute a global challenge that affects a large number of people of all ages and socioeconomic backgrounds. According to the Mental Health Foundation, about a quarter of the population will experience some form of mental health problem in the course of a year. Physical activity’s (PA) health benefits are proven and wide-ra...

Mobile devices are nearly ubiquitous for users in everyday life, often being with individuals throughout their daily routine, including use during work, social, and home activities. The widespread use of mobile devices allows novel technologies to be designed to improve personal security and safety. Existing solutions in this area include applicati...

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...

Environmental factors (such as Particulate Matter 2.5, noise, and gases) have been shown to significantly impact momentary mental wellbeing. As the population grows across the world it is expected that around 66 % of the global population will live in urban areas by 2050 [1]. In addition, with 91 % of people living and working in places whereby air...

Introduction It is estimated that 55 million people are living with dementia worldwide in 2021, and the numbers are expected to rise to 78 million in 2030 and 139 million in 2050 (Siriaraya et al., 2022; World Health Organisation, 2022). Dementia is an umbrella term that describes neurodegenerative disorders that impact memory, cognition, language...

Mindless eating, or the lack of awareness of the food we are consuming, has been linked to health problems attributed to unhealthy eating behaviour, including obesity. Traditional approaches used to moderate eating behaviour often rely on inaccurate self-logging, manual observations or bulky equipment. Overall, there is a clear unmet clinical need...

Automatic recognition of human emotions is not a trivial process. There are many factors affecting emotions internally and externally. Expressing emotions could also be performed in many ways such as text, speech, body gestures or even physiologically by physiological body responses. Emotion detection enables many applications such as adaptive user...

Natural Language Processing has recently made understanding human interaction easier, leading to improved sentimental analysis and behaviour prediction. However, the choice of words and vocal cues in conversations presents an underexplored rich source of natural language data for personal safety and crime prevention. When accompanied by audio analy...

Exergames are video games that require physical movement to play with AR presenting many opportunities for promoting physical activities as it can be used to engage players and encourage exploration. Multiplayer Augmented Reality (AR) games allow players to occupy a shared physical environment populated with interactive digital 3D models. We propos...

With the ever-increasing elderly population, human activity trackers can help monitor the daily physical activities performed by the elderly in order to contribute towards improvements in independent living and quality of life. Historically, research has explored activity recognition using either multimodal wearable sensors or Historically resear...

Vertebrate retinas are highly-efficient in processing trivial visual tasks such as detecting moving objects, yet a complex task for modern computers. The detection of object motion is done by specialised retinal ganglion cells named Object-motion-sensitive ganglion cells (OMS-GC). OMS-GC process continuous signals and generate spike patterns that a...

Ubiquitous access to the internet is provided to students via WiFi to enhance their learning experience. Internet use is central to education, however when overused for distraction it can be problematic and negatively affect students’ academic performance and well-being. A spatial-temporal analysis of actual behaviour on a University WiFi examines...

Emerging technological innovations have been developed in recent years to prevent crime and enhance public safety. This paper evaluates the recent advances in ubiquitous sensing and pervasive computing to ultimately propose a multimodal crime prevention tool that incorporates several technologies into a single wearable device. The crime prevention...

An exergame is a genre of gaming that combinesexercising with digital game play. The ubiquity of mobile devicesmake them ideal platforms for these games to promote physicalactivities. Advances in Internet of Things (IoT) technologiesincluding Bluetooth Low Energy (BLE) beacons can be utilisedfor proximity detection to promote physical activities an...

Maintaining social distancing in public spaces plays a pivotal role in decreasing COVID-19 contagion and viral spread. COVID-19 has required many countries around the world to close work places, schools and public spaces. This has prompted policy makers, venue managers and local authorities to investigate practical mitigation strategies using techn...

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...

Time series data from multiple modalities such as physiological and motion sensor data have proven to be integral for measuring mental wellbeing however individual differences between people limit the generalisability of deep learning models especially for those with intellectual disabilities. It is impractical, time consuming and extremely challen...

Maintaining social distancing in public spaces plays a pivotal role in decreasing COVID-19 contagion and viral spread. COVID-19 has required many countries around the world to close work places, schools and public spaces. This has prompted policy makers, venue managers and local authorities to investigate practical mitigation strategies using techn...

Real- and simulated data<br

Next generation wireless systems have witnessed significant R&D attention from academia and industries to enable wide range of applications for connected environment around us. The technical design of next generation wireless systems in terms of relay and transmit power control is very critical due to the ever-reducing size of these sensor enabled...

Introduction: The immediate impact of coronavirus 2019 (COVID-19) on morbidity and mortality has raised the need for accurate and real-time data monitoring and communication. The aim of this study is to document the initial observations from multiple digital services providers during the COVID-19 crisis, especially those related to mental health an...

Criminal activity is a prevalent issue in contemporary culture and society, with most nations facing unacceptable levels of crime. Technological innovation has been one of the main driving forces leading to the continuous improvement of crime control and crime prevention strategies (e.g. GPS tracking and tagging, video surveillance, etc.). Given th...

Introduction: The immediate impact of COVID-19 on morbidity and mortality has raised the need for accurate and real time data monitoring and communication. The aim of this study is to document initial observations from multiple digital services providers during the COVID-19 crisis, especially those related to mental health and wellbeing. Materials...

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...

Involving and engaging people with learning disabilities on issues relating to their mental wellbeing can bechallenging. This research explores how participatory design techniques and principles can be used to engagepeople with learning disabilities in designing technological solutions relevant to them that could monitorand aid their mental wellbei...

Involving and engaging people with learning disabilities on issues relating to their mental wellbeing can bechallenging. This research explores how participatory design techniques and principles can be used to engagepeople with learning disabilities in designing technological solutions relevant to them that could monitorand aid their mental wellbei...

The quantification of emotional states is an important step to understanding wellbeing. Time series data from multiple modalities such as physiological and motion sensor data have proven to be integral for measuring and quantifying emotions. Monitoring emotional trajectories over long periods of time inherits some critical limitations in relation t...

Emerging technological innovations have been developed in recent years to prevent crime and enhance public safety. This paper evaluates the recent advances in ubiquitous sensing and pervasive computing to ultimately propose a multimodal crime prevention tool which incorporates several technologies into a single wearable device. The crime prevention...

The ability to unobtrusively measure mental wellbeing states using non-invasive sensors has the potential to greatly improve mental wellbeing by alleviating the effects of high stress levels. Multiple sensors, such as electrodermal activity, heart rate and accelerometers, embedded within tangible devices pave the way to continuously and non-invasiv...

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...

In recent years, machine learning has developed rapidly, enabling the development of applications with high levels of recognition accuracy relating to the use of speech and images. However, other types of data to which these models can be applied have not yet been explored as thoroughly. Labelling is an indispensable stage of data pre-processing th...

Children can find it challenging to communicate their emotions especially when experiencing mental health challenges. Technological solutions may help children communicate digitally and receive support from one another as advances in networking and sensors enable the real-time transmission of physical interactions. In this work, we pursue the desig...

COVID-19 has shown a relatively low case fatality rate in young healthy individuals, with the majority of this group being asymptomatic or having mild symptoms. However, the severity of the disease among the elderly as well as in individuals with underlying health conditions has caused significant mortality rates worldwide. Understanding this varia...

Mental health problems are on the rise globally and strain national health systems worldwide. Mental disorders are closely associated with fear of stigma, structural barriers such as financial burden, and lack of available services and resources which often prohibit the delivery of frequent clinical advice and monitoring. Technologies for mental we...

Children can find it challenging to communicate their emotions especially when experiencing mental health challenges. Technological solutions may help children communicate digitally and receive support from one another as advances in networking and sensors enable the real-time transmission of physical interactions. In this work, we pursue the desig...

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...

COVID-19 has shown a relatively low mortality rate in young healthy individuals, with the majority of this group being asymptomatic or having mild symptoms, while the severity of the disease among individuals with underlying health conditions has caused signiffcant mortality rates worldwide. Understanding these differences in mortality amongst diff...

UNSTRUCTURED COVID-19 has shown a relatively low case fatality rate in young healthy individuals, with the majority of this group being asymptomatic or having mild symptoms. However, the severity of the disease among the elderly as well as in individuals with underlying health conditions has caused significant mortality rates worldwide. Understandi...

Stress is a growing concern in modern society adversely impacting the wider population more than ever before. The accurate inference of stress may result in the possibility for personalised interventions. However, individual differences between people limits the generalisability of machine learning models to infer emotions as people's physiology wh...

This Special Issue calls for high-quality, multidisciplinary research papers in the field of human-centred computing, engineering and life sciences which aim to address issues associated with dementia with novel technologies. We are interested in submissions focusing on emerging technologies to support dementia care, diagnosis, early intervention,...

n recent years, machine learning has made leaps and bounds enabling applications with high recognitionaccuracy for speech and images. However, other types of data to which these models can be applied have not yetbeen explored as thoroughly. Labelling is an indispensable stage of data pre-processing that can be even morechallenging in single or mult...

Stress is a growing concern in modern society adversely impacting the wider population more than ever before. The accurate inference of stress may result in the possibility for personalised interventions. However, individual differences between people limits the generalisability of machine learning models to infer emotions as people's physiology wh...

Abstract —The proliferation of mobile sensor technologies makes it possible for retailers to understand customers’ behavior as they visit their stores, which in turns could help improving customers’ shopping experiences. In this paper, we present a novel quantitative approach to convey a collective sense of shopping places. The data was collected a...

Abstract—The Retail industry is being heavily disrupted by technology such as IoT, and the spread of smart phones sensor technologies which creates infinite possibilities specially for merchants to figure out their customers actions and habits while visiting their shops. This gives sights on how to enhance the customers shopping experiences. In thi...

Given the prominent role that smartphones have in everyday life, research in the field has proliferated. From a theoretical perspective, problematic smartphone use (PSPU) is described as a multi-faceted phenomenon entailing a variety of dysfunctional manifestations (e.g., addictive, antisocial and dangerous use). To date, however, there is still a...

In recent years, machine learning has made leaps and bounds enabling applications with high recognition accuracy for speech and images. However, other types of data to which these models can be applied have not yet been explored as thoroughly. In particular, it can be relatively challenging to accurately classify single or multi-model, real-time se...

The detection and monitoring of emotions are important in various applications, e.g. to enable naturalistic and personalised human-robot interaction. Emotion detection often require modelling of various data inputs from multiple modalities, including physiological signals (e.g.EEG and GSR), environmental data (e.g. audio and weather), videos (e.g....

In recent years mobile phone technology has taken tremendous leaps and bounds to enable all types of sensing applications and interaction methods, including mobile journaling and self-reporting to add metadata and to label sensor data streams. Mobile self-report techniques are used to record user ratings of their experiences during structured studi...

With the decreasing cost and increasing capability of sensor and mobile technology along with the proliferation of data from social media, ambient environment and other sources, new concepts for digital prognostic and technological quantification of wellbeing are emerging. These concepts are referred to as Digital Phenotyping. One of the main chall...

Mental health is placing increasing pressure on global health organisations with modern lifestyles significantly contributing to worsening mental well-being. Mental health challenges do not only affect adults but also children with increasing social and academic pressure. Technologies for mental well-being possess many qualities that offer the pote...

Mindless eating, or the lack of awareness of the food we are consuming, has been linked to health problems attributed to unhealthy eating behaviour, including obesity. Traditional approaches used to moderate eating behaviour often rely on inaccurate self-logging, manual observations or bulky equipment. Overall, there is a need for an intelligent an...

BACKGROUND Mindless eating, or the lack of awareness of the food we are consuming, has been linked to health problems attributed to unhealthy eating behaviour, including obesity. Traditional approaches used to moderate eating behaviour often rely on inaccurate self-logging, manual observations or bulky equipment. Overall, there is a need for an int...

Mental well-being technologies possess many qualities that give them the potential to help people receive assessment and treatment who may otherwise not receive help due to fear of stigma or lack of resources. The combination of advances in sensors, microcontrollers and machine learning is leading to the emergence of dedicated tangible interfaces t...

Mental health problems are on the rise globally and strain national health systems worldwide. Mental disorders are closely associated with fear of stigma, structural barriers such as financial burden, and lack of available services and resources which often prohibit the delivery of frequent clinical advice and monitoring. Technologies for mental we...

Mental health problems are on the rise globally and strain national health systems worldwide. Mental disorders are closely associated with fear of stigma, structural barriers such as financial burden, and lack of available services and resources which often prohibit the delivery of frequent clinical advice and monitoring. Technologies for mental we...

In recent years, mobile phone technology has taken tremendous leaps and bounds to enable all types of sensing applications and interaction methods, including mobile journaling and self-reporting to add metadata and to label sensor data streams. Mobile self-report techniques are used to record user ratings of their experiences during structured stud...

Mental well-being technologies possess many qualities that give them the potential to help people receive assessment and treatment who may otherwise not receive help due to fear of stigma or lack of resources. The combination of advances in sensors, microcontrollers and machine learning is leading to the emergence of dedicated tangible interfaces t...

The growing interest in citizen science has resulted in a new range of digital tools that facilitate the interaction and communications between citizens and scientists. Considering the ever increasing number of applications that currently exist, it is surprising how little we know about how volunteers interact with these technologies, what they exp...

When it comes to attention and notification management, most of the previous attempts to visualise notifications and smart phone usage have focused on digital representation on a screen that is not fully embedded in users’ environment. Today, the constant development in hardware and embedded systems including mini displays, LEDs, actuation as well...

An interactive tangible interface has been developed to capture and communicate emotions between people who are missing and longing for loved ones. EmoEcho measures the wearer’s pulse, touch and movement to provide varying vibration patterns on the partner device. During an informal evaluation of two prototype devices users acknowledged how EmoEcho...

Poster that list a number of projects worked on in relation to Smart Citties, pervasive Retail, Environment monitoring and mapping, and the impact of environment on health.