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70,000
2023-04-01 to 2023-09-30
Collaborative R&D
According to WHO data, 30% of adults and 85% of adolescents worldwide are considered to be inactive due to societal factors and lifestyle changes. Although exercise is frequently viewed as a dull activity, people show increasing interest in sedentary forms of entertainment like video games. Simultaneously, across the world, approximately 264m people are also experiencing depression and anxiety disorders. To alleviate the consequences of these issues, MediprospectsAI proposes to develop an XR-based solution that enables the 13+ teenagers and older demographics to step into immersive worlds and partake in physical activity exercise to promote a positive state of mind along with neurofeedback-based music therapy to provoke the best emotional impact. Our solution provides immense health benefits through an application connected to 3 devices, an AI-powered head-mounted display, an Emotiv EPOC EEG device, and an XR hand controller to address the abovementioned challenges by helping the 13+ population: Games: * a neurofeedback session: ten music snippets that last 30 seconds each are presented in order. A selection of similar instruments, each slightly animated, together with visual effects like fireworks shown on the head-mounted display for each song. The neurofeedback agent identifies the song with the greatest emotional impact, monitoring the user's emotions while exposed to the 10 songs. * an XR boxing game - the user should punch flying fireballs coming towards them and squat to avoid approaching barrels, * an XR rowing game - the player needs to perform rowing motion to steer a boat, available in two versions (a) boating in a relaxing environment for stress release, (b) a rowing race environment which can be played in a multiplayer setting, and Both games will be created with the music chosen during the neurofeedback session. Exercises: * Lists of various fitness exercises with workout plans generated by AI; an XR-based aerobics session Using the neurofeedback method, we modify the user's playlist to favour the song that is included in the games and has the most potential to affect the user. Our environment's neurofeedback feature allows us to customize each user's emotional experience. Moreover, the app incorporates calorie calculation and heart rate - a rare component for AI-based XR exercise gaming applications. Our service will be accessible without barriers such as affordability. The impact on our consumer demographic will be measured, evidenced, and reported through users' involvement and usability testing to refine and improve the solution's performance incrementally.
50,000
2022-03-01 to 2023-02-28
Small Business Research Initiative
Loneliness can affect anyone, although older people are most at risk from chronic loneliness due to life events (e.g., retirement and bereavement). Research shows that loneliness can have serious consequences for the health of older people and that it can lead to increased use of healthcare services (such as GP services and A&E). Older people who live alone face an increased risk of being admitted to hospital as an inpatient. There are traditional befriending services; but so far, there has been very little research to see if it can make a difference. One idea is to implement an innovative form of befriending to enable those who cannot access the traditional befriending services e.g., in hard to reach areas in Essex and those who cannot get safely discharged from hospital coupled with frailty and lack of social connections, in Cornwall. This project aims at co-designing an AI-based television-enabled application (TEA) that can adapt a home television set, that is universally useful for enabling older people to connect with befriending services. TEA will enable older people in Essex and Cornwell, to increase the cohesion of social connection and address loneliness by facilitating engagement. The development of TEA will be guided by older people through participatory design and can also be easily remembered by the end-users by its name- "TEA". The conversant use of technology, i.e., television can reach widespread, even hard-to-reach older population to befrienders, overcoming technology anxiety, resistance to change, and even geographical boundaries to create communities of shared interest (such a reading groups). Our research team, with extensive experience in co-designing products with older people, have successfully worked on a large European project on age and technology. We will be co-designing this television adaption tool (TEA), with a panel of older people, some befriending volunteers, academic researchers and small businesses. This application will be also accessible through smartphones. We envisage that older people in Essex and Cornwall will benefit from the TV-enabled befriending service; however, the real impact will only be known after we have analysed the data we collect. Significantly, the project will provide the first systematic insight into the value of the different models of befriending services for addressing loneliness and isolation in older people. The findings will therefore be useful for government, local authorities and others looking to address loneliness and isolation in older people through befriending and can be replicated nationwide as well as globally.
50,000
2022-03-01 to 2023-02-28
Small Business Research Initiative
Loneliness can affect anyone, although older people are most at risk from chronic loneliness due to life events (e.g., retirement and bereavement). Research shows that loneliness can have serious consequences for the health of older people and that it can lead to increased use of healthcare services (such as GP services and A&E). Older people who live alone face an increased risk of being admitted to hospital as an inpatient. There are traditional befriending services; but so far, there has been very little research to see if it can make a difference. One idea is to implement an innovative form of befriending to enable those who cannot access the traditional befriending services e.g., in hard to reach areas in Essex and those who cannot get safely discharged from hospital coupled with frailty and lack of social connections, in Cornwall. This project aims at co-designing an AI-based television-enabled application (TEA) that can adapt a home television set, that is universally useful for enabling older people to connect with befriending services. TEA will enable older people in Essex and Cornwell, to increase the cohesion of social connection and address loneliness by facilitating engagement. The development of TEA will be guided by older people through participatory design and can also be easily remembered by the end-users by its name- "TEA". The conversant use of technology, i.e., television can reach widespread, even hard-to-reach older population to befrienders, overcoming technology anxiety, resistance to change, and even geographical boundaries to create communities of shared interest (such a reading groups). Our research team, with extensive experience in co-designing products with older people, have successfully worked on a large European project on age and technology. We will be co-designing this television adaption tool (TEA), with a panel of older people, some befriending volunteers, academic researchers and small businesses. This application will be also accessible through smartphones. We envisage that older people in Essex and Cornwall will benefit from the TV-enabled befriending service; however, the real impact will only be known after we have analysed the data we collect. Significantly, the project will provide the first systematic insight into the value of the different models of befriending services for addressing loneliness and isolation in older people. The findings will therefore be useful for government, local authorities and others looking to address loneliness and isolation in older people through befriending and can be replicated nationwide as well as globally.
21,000
2022-01-01 to 2022-03-31
Collaborative R&D
Along its 435-kilometre coastline and emerging aquaculture sector, Cambodia has a substantial and enormously productive inland capture fishery as well as marine fishery. In 2018, inland and marine production combined with aquaculture saw the production of 910,153 tonnes, with growth of close to 1 million tonnes in 2020\. Through this **feasibility study**, in collaboration with TECO 100-Village Project (VP) of the Asia Vision Institute (AVI) - managed by the Royal Government of Cambodia; the University of Nottingham and the University of Puthisastra, University of Heng Samrin Thbongkhmum, MediprospectsAI presents artificial intelligence (AI) powered gamified mobile application to analyse water quality and diseases of fish not only in community fisheries but also small-scale fisheries - often overlooked in policymaking given a lack of reliable data, playing an important role to develop equality in society, reduce gender disparity, sustainable resource utilisation, food security and nutrition, and poverty eradication. **Real-time diagnosis of water quality, classification of fish pathogens** and identification of **treatments** shall focus on **image processing techniques and colourimetric tests**. The mobile application will be gamified to ensure the end-users are actively engaging and motivated. The project is **replicable** in other least developed countries (LDCs) such as Bangladesh and Uganda, as we strive to contribute to the achievements of the United Nations Sustainable Development Goals 2030 by building social and economic resilience and long-term sustainable and inclusive development. The proposal's novelty is the first-ever solution with an explainable AI (XAI) embedded through multi-class classification techniques to offer smart agriculture through technologies like location systems; IoT based devices; and AI on Cambodian farms, especially for fish in ponds and hatchery. Our product shall increase the quality and quantity of fish productions and optimise human labour as villagers will easily access remote and resource-limited areas for early detection of various diseases. The feasibility study shall identify risks associated while extensively investigating technical and operational feasibility of the power of automated diagnosis for fish diseases & water quality analysis to create a socio-economical impact despite limited resources, principally in Cambodia and soon in the remaining LDCs, around the world.