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Sensing, Recognition, and Security / Activity Recognition Datasets, Annotation, and Explainability Methods

When installing new smart home systems, users depend on large amounts of labeled data, making deployment slow and complex.

lightbulbPractical problemActivity Recognition Datasets, Annotation, and Explainability Methods

When installing new smart home systems, users depend on large amounts of labeled data, making deployment slow and complex.

UbiComp '22Bootstrapping Human Activity Recognition Systems for Smart Homes from Scratch

Similar questions

lightbulbPractical problemActivity Recognition Datasets, Annotation, and Explainability Methods

The industrial domain lacks high-quality datasets supporting recognition of complex tasks.

UbiComp '24Brief Introduction of the OpenPack Dataset and Lessons Learned from Organizing Activity Recognition Challenge Using the Dataset

lightbulbPractical problemActivity Recognition Datasets, Annotation, and Explainability Methods

Information workers worry about privacy leakage and unfair use when accepting PSAI systems.

CHI '24Sensible and Sensitive AI for Worker Wellbeing: Factors that Inform Adoption and Resistance for Information Workers

lightbulbPractical problemActivity Recognition Datasets, Annotation, and Explainability Methods

Activity recognition systems cannot accurately handle complex behaviors in real-world scenarios and lack suitable datasets.

UbiComp '2311th International Workshop on Human Activity Sensing Corpus and Applications (HASCA)

lightbulbPractical problemActivity Recognition Datasets, Annotation, and Explainability Methods

Non-technical users struggle to understand prediction rationale of activity recognition systems in smart homes.

UbiComp '22DeXAR: Deep Explainable Sensor-Based Activity Recognition in Smart-Home Environments

Related papers

Sensible and Sensitive AI for Worker Wellbeing: Factors that Inform Adoption and Resistance for Information Workers

Vedant Das Swain, Lan Gao, Abhirup Mondal