ORCID Profile
0000-0001-9297-2613
Current Organisation
Imperial College London
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Publisher: Cold Spring Harbor Laboratory
Date: 05-12-2019
DOI: 10.1101/865980
Abstract: Natural habitats are being impacted by human pressures at an alarming rate. Monitoring these ecosystem-level changes often requires labour-intensive surveys that are unable to detect rapid or unanticipated environmental changes. Here we developed a generalisable, data-driven solution to this challenge using eco-acoustic data. We exploited a convolutional neural network to embed ecosystem soundscapes from a wide variety of biomes into a common acoustic space. In both supervised and unsupervised modes, this allowed us to accurately quantify variation in habitat quality across space and in bio ersity through time. On the scale of seconds, we learned a typical soundscape model that allowed automatic identification of anomalous sounds in playback experiments, paving the way for real-time detection of irregular environmental behaviour including illegal activity. Our highly generalisable approach, and the common set of features, will enable scientists to unlock previously hidden insights from eco-acoustic data and offers promise as a backbone technology for global collaborative autonomous ecosystem monitoring efforts.
Publisher: JMIR Publications Inc.
Date: 09-06-2020
Abstract: ultiple gaming apps exist under the dementia umbrella for skills such as navigation however, an app to specifically investigate the role of hearing loss in the process of cognitive decline is yet to be designed. There is a demonstrable gap in the utilization of games to further the knowledge of the potential relationship between hearing loss and dementia. his study aims to identify the needs, facilitators, and barriers in designing a novel auditory-cognitive training gaming app. participatory design approach was used to engage key stakeholders across audiology and cognitive disorder specialties. Two rounds, including paired semistructured interviews and focus groups, were completed and thematically analyzed. total of 18 stakeholders participated, and 6 themes were identified to inform the next stage of app development. These included congruence with hobbies, life getting in the way, motivational challenge, accessibility, addictive competition, and realism. he findings can now be implemented in the development of the app. The app will be evaluated against outcome measures of speech listening in noise, cognitive and attentional tasks, quality of life, and usability.
Publisher: Proceedings of the National Academy of Sciences
Date: 07-07-2020
Abstract: Human pressures are causing natural ecosystems to change at an unprecedented rate. Understanding these changes is important (e.g., to inform policy decisions), but we are h ered by the slow, labor-intensive nature of traditional ecological surveys. In this study, we show that automated analysis of the sounds of an ecosystem—its soundscape—enables rapid and scalable ecological monitoring. We used a neural network to calculate fingerprints of soundscapes from a variety of ecosystems. From these acoustic fingerprints we could accurately predict habitat quality and bio ersity across multiple scales and automatically identify anomalous sounds such as gunshots and chainsaws. Crucially, our approach generalized well across ecosystems, offering promise as a backbone technology for global monitoring efforts.
Publisher: JMIR Publications Inc.
Date: 30-09-2020
DOI: 10.2196/19880
Abstract: Multiple gaming apps exist under the dementia umbrella for skills such as navigation however, an app to specifically investigate the role of hearing loss in the process of cognitive decline is yet to be designed. There is a demonstrable gap in the utilization of games to further the knowledge of the potential relationship between hearing loss and dementia. This study aims to identify the needs, facilitators, and barriers in designing a novel auditory-cognitive training gaming app. A participatory design approach was used to engage key stakeholders across audiology and cognitive disorder specialties. Two rounds, including paired semistructured interviews and focus groups, were completed and thematically analyzed. A total of 18 stakeholders participated, and 6 themes were identified to inform the next stage of app development. These included congruence with hobbies, life getting in the way, motivational challenge, accessibility, addictive competition, and realism. The findings can now be implemented in the development of the app. The app will be evaluated against outcome measures of speech listening in noise, cognitive and attentional tasks, quality of life, and usability.
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Lorenzo Picinali.