Direction: Sensing, Recognition, and Security

Activity Recognition Datasets, Annotation, and Explainability Methods

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2024

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helpResearch questionActivity Recognition Datasets, Annotation, and Explainability Methods

How can a human activity recognition dataset covering complex industrial tasks be established?

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

helpResearch questionActivity Recognition Datasets, Annotation, and Explainability Methods

Can combining multimodal data (e.g., IMU, LiDAR) improve the accuracy of industrial activity recognition?

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

helpResearch questionActivity Recognition Datasets, Annotation, and Explainability Methods

What new insights can organizing challenges based on industrial activity recognition datasets bring to research?

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

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

helpResearch questionActivity Recognition Datasets, Annotation, and Explainability Methods

How do sensing modes, scope, inference types, and data sharing methods of passive sensing AI (PSAI) systems affect information workers' acceptance?

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

helpResearch questionActivity Recognition Datasets, Annotation, and Explainability Methods

What are information workers' main concerns about privacy and fairness in PSAI systems?

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

helpResearch questionActivity Recognition Datasets, Annotation, and Explainability Methods

How can PSAI design be optimized to better support information workers' mental health and work needs?

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

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

helpResearch questionActivity Recognition Datasets, Annotation, and Explainability Methods

How can large-scale activity sensing corpora be built to capture complex and subtle human behaviors?

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

helpResearch questionActivity Recognition Datasets, Annotation, and Explainability Methods

Can continual learning methods improve adaptability and generalizability of activity recognition systems in real-world scenarios?

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

helpResearch questionActivity Recognition Datasets, Annotation, and Explainability Methods

How can sensor data, task objectives, and data formats be effectively unified to create larger-scale joint datasets?

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

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)

helpResearch questionActivity Recognition Datasets, Annotation, and Explainability Methods

How can sensor data be transformed into semantic images for daily activity recognition?

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

helpResearch questionActivity Recognition Datasets, Annotation, and Explainability Methods

Can activity recognition from sensor data generate natural language explanations through deep learning frameworks?

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

helpResearch questionActivity Recognition Datasets, Annotation, and Explainability Methods

Which explainable AI (XAI) methods are better suited for generating high-quality activity explanations for non-technical users?

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

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

helpResearch questionActivity Recognition Datasets, Annotation, and Explainability Methods

How can human activity recognition in smart homes be achieved through cold start without pre-labeled data in new environments?

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

helpResearch questionActivity Recognition Datasets, Annotation, and Explainability Methods

Which algorithms and modeling techniques can reduce reliance on manually labeled data to effectively initialize HAR systems?

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

helpResearch questionActivity Recognition Datasets, Annotation, and Explainability Methods

Can cold-start HAR systems accurately recognize major activity patterns in daily home life?

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

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

Adjacent categories

Sensing, Recognition, and Security

Activity Recognition Datasets, Annotation, and Explainability Methods

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Related papers

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

Adjacent categories

Gesture and Pose Sensing Model Performance and Accuracy

Wearable Health Devices and Everyday Sensing

Speech, Face, and Body Pose Input

Biometric Authentication and Secure Identification

HAR Model Robustness, Generalization, and Data Augmentation

Wearable Health, Activity, and Behavior Monitoring

IMU Inertial Sensing

Mobile Touch and Micro-Gesture Input