Practicality Aspects of Automatic Fluid Intake Monitoring via Smartwatches

Lutze, Rainer; Waldhör, Klemens

doi:10.1007/978-3-031-35572-1_5

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2024

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Cited by 3 publications

References 24 publications

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Generating Specifications from Requirements Documents for Smart Devices Using Large Language Models (LLMs)

Lutze,

Waldhör

2024

Lecture Notes in Computer Science

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Generating Specifications from Requirements Documents for Smart Devices Using Large Language Models (LLMs)

Lutze,

Waldhör

2024

Lecture Notes in Computer Science

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Fluid Watch: Precision Water Quality Prognosticator with Leak Tracking and Remediation Magic

Yazhini,

Chanthini,

Manimegalai

et al. 2024

Studies in Autonomic, Data-Driven and Industrial Computing

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Towards Wine Tasting Activity Recognition for a Digital Sommelier

Parra,

Favela,

Castro

et al. 2024

Companion Proceedings of the 26th International Conference on Multimodal Interaction

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In this study, we evaluated the feasibility of using zero-shot classification models for activity recognition in a Digital Sommelier. Our experiment involved preprocessing video data by extracting frames and categorizing user activities related to a wine-tasting scenario. Image classification models demonstrated high accuracy, nearing 90%, in distinguishing between "engaged" and "disengaged" states. However, video classification models presented a lower performance in classifying user activities such as "observing wine," "smelling wine," and "sipping wine," with an average accuracy of around 50% due to the interdependent nature of the activities. Despite these challenges, our findings highlight the potential of zeroshot classification models in enhancing virtual assistants' ability to recognize and respond to user activities.

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Practicality Aspects of Automatic Fluid Intake Monitoring via Smartwatches

Cited by 3 publications

References 24 publications

Generating Specifications from Requirements Documents for Smart Devices Using Large Language Models (LLMs)

Generating Specifications from Requirements Documents for Smart Devices Using Large Language Models (LLMs)

Fluid Watch: Precision Water Quality Prognosticator with Leak Tracking and Remediation Magic

Towards Wine Tasting Activity Recognition for a Digital Sommelier

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