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HANDY: A Benchmark Dataset for Context-Awareness via Wrist-Worn Motion Sensors

https://doi.org/10.3390/data3030024
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-12654-3_16openalex-snapshot
GasSense: Appliance-Level, Single-Point Sensing of Gas Activity in the Home
inferredcites →https://doi.org/10.1007/978-3-642-21257-4_36openalex-snapshot
Human Activity Recognition from Accelerometer Data Using a Wearable Device
inferredcites →https://doi.org/10.1007/978-3-642-34459-6_6openalex-snapshot
Wearable Computing: Accelerometers’ Data Classification of Body Postures and Movements
inferredcites →https://doi.org/10.1007/s00779-011-0415-zopenalex-snapshot
Personalization and user verification in wearable systems using biometric walking patterns
inferredcites →https://doi.org/10.1007/s00779-012-0556-8openalex-snapshot
Activity recognition with hand-worn magnetic sensors
inferredcites →https://doi.org/10.1007/s007790170019openalex-snapshot
Understanding and Using Context
inferredcites →https://doi.org/10.1016/j.cviu.2006.07.006openalex-snapshot
A general method for human activity recognition in video
inferredcites →https://doi.org/10.1016/j.cviu.2006.08.002openalex-snapshot
A survey of advances in vision-based human motion capture and analysis
inferredcites →https://doi.org/10.1016/j.patcog.2015.03.009openalex-snapshot
Performance evaluation of classification algorithms by k-fold and leave-one-out cross validation
inferredcites →https://doi.org/10.1016/j.pmcj.2016.09.003openalex-snapshot
Advancing Android activity recognition service with Markov smoother: Practical solutions
inferredcites →https://doi.org/10.1016/j.procs.2016.09.070openalex-snapshot
Integrating Features for Accelerometer-based Activity Recognition
inferredcites →https://doi.org/10.1109/comst.2014.2381246openalex-snapshot
Context-Awareness for Mobile Sensing: A Survey and Future Directions
inferredcites →https://doi.org/10.1109/icra.2013.6630784openalex-snapshot
Analysis of human behavior recognition algorithms based on acceleration data
inferredcites →https://doi.org/10.1109/iswc.2012.13openalex-snapshot
Introducing a New Benchmarked Dataset for Activity Monitoring
inferredcites →https://doi.org/10.1109/mcom.2014.6829941openalex-snapshot
A survey of context-aware middleware designs for human activity recognition
inferredcites →https://doi.org/10.1109/mprv.2004.7openalex-snapshot
Inferring Activities from Interactions with Objects
inferredcites →https://doi.org/10.1109/tbme.2008.2006190openalex-snapshot
A Comparison of Feature Extraction Methods for the Classification of Dynamic Activities From Accelerometer Data
inferredcites →https://doi.org/10.1109/tsmcc.2012.2198883openalex-snapshot
Sensor-Based Activity Recognition
inferredcites →https://doi.org/10.1109/uic-atc.2013.43openalex-snapshot
Towards Physical Activity Recognition Using Smartphone Sensors
inferredcites →https://doi.org/10.1145/1143844.1143865openalex-snapshot
An empirical comparison of supervised learning algorithms
inferredcites →https://doi.org/10.1145/1166253.1166269openalex-snapshot
Sensing from the basement
inferredcites →https://doi.org/10.1145/1922649.1922653openalex-snapshot
Human activity analysis
inferredcites →https://doi.org/10.1145/1964897.1964918openalex-snapshot
Activity recognition using cell phone accelerometers
inferredcites →https://doi.org/10.3389/frobt.2015.00028openalex-snapshot
A Review of Human Activity Recognition Methods
inferredcites →https://doi.org/10.3390/computers2020088openalex-snapshot
A Review on Video-Based Human Activity Recognition
inferredcites →https://doi.org/10.3390/s100201154openalex-snapshot
Machine Learning Methods for Classifying Human Physical Activity from On-Body Accelerometers
inferredcites →https://doi.org/10.3390/s130405317openalex-snapshot
Classification of Sporting Activities Using Smartphone Accelerometers
inferredcites →https://doi.org/10.5555/1771592.1771608openalex-snapshot
At the flick of a switch: detecting and classifying unique electrical events on the residential power line

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s12553-022-00698-zopenalex-snapshot
A deep learning approach for parkinson’s disease severity assessment
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.125947openalex-snapshot
Language of actions: A generative model for activity recognition and next move prediction from motion sensors
inferred← citeshttps://doi.org/10.1038/s41597-026-07802-2openalex-snapshot
A wearable sensor–based kinematic dataset collected under standardized rehabilitation tasks from 120 post-stroke patients
inferred← citeshttps://doi.org/10.1080/07421222.2020.1759961openalex-snapshot
Human Identification for Activities of Daily Living: A Deep Transfer Learning Approach
inferred← citeshttps://doi.org/10.1109/access.2022.3208686openalex-snapshot
Complex Human Activity Recognition Using a Local Weighted Approach
inferred← citeshttps://doi.org/10.1109/aect47998.2020.9194154openalex-snapshot
Smart System for Recognizing Daily Human Activities Based on Wrist IMU Sensors
inferred← citeshttps://doi.org/10.1109/ictai.2019.00124openalex-snapshot
Applying Deep Learning and Wearable Devices for Educational Data Analytics
inferred← citeshttps://doi.org/10.1109/ist48021.2019.9010115openalex-snapshot
An Efficient Human Activity Recognition Framework Based on Wearable IMU Wrist Sensors
inferred← citeshttps://doi.org/10.1109/tsp.2019.8768815openalex-snapshot
A Deep LSTM Approach for Activity Recognition
inferred← citeshttps://doi.org/10.1145/3313831.3376808openalex-snapshot
RCEA: Real-time, Continuous Emotion Annotation for Collecting Precise Mobile Video Ground Truth Labels
inferred← citeshttps://doi.org/10.1145/3377882openalex-snapshot
Human Activity Recognition from Multiple Sensors Data Using Multi-fusion Representations and CNNs
inferred← citeshttps://doi.org/10.3390/s23010536openalex-snapshot
A Clinical Perspective on Bespoke Sensing Mechanisms for Remote Monitoring and Rehabilitation of Neurological Diseases: Scoping Review
inferred← citeshttps://doi.org/10.3390/sym11081028openalex-snapshot
A New on-Demand Recharging Strategy Based on Cycle-Limitation in a WRSN
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