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Audio-Based Activities of Daily Living (ADL) Recognition with Large-Scale Acoustic Embeddings from Online Videos
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11428572_4openalex-snapshot
Bathroom Activity Monitoring Based on Sound
inferredcites →https://doi.org/10.1007/11538059_91openalex-snapshot
Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning
inferredcites →https://doi.org/10.1016/j.jss.2011.06.073openalex-snapshot
A survey on privacy in mobile participatory sensing applications
inferredcites →https://doi.org/10.1016/j.pmcj.2010.11.005openalex-snapshot
Cross-domain activity recognition via transfer learning
inferredcites →https://doi.org/10.1109/ccnc.2013.6488584openalex-snapshot
Activity recognition using smartphone sensors
inferredcites →https://doi.org/10.1109/icassp.2017.7952132openalex-snapshot
CNN architectures for large-scale audio classification
inferredcites →https://doi.org/10.1109/icassp.2017.7952261openalex-snapshot
Audio Set: An ontology and human-labeled dataset for audio events
inferredcites →https://doi.org/10.1109/icassp.2018.8461392openalex-snapshot
Audio Set Classification with Attention Model: A Probabilistic Perspective
inferredcites →https://doi.org/10.1109/iswc.2012.12openalex-snapshot
Recognizing Daily Life Context Using Web-Collected Audio Data
inferredcites →https://doi.org/10.1109/jbhi.2014.2343154openalex-snapshot
Smartphone-Based Recognition of States and State Changes in Bipolar Disorder Patients
inferredcites →https://doi.org/10.1109/lsp.2017.2657381openalex-snapshot
Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification
inferredcites →https://doi.org/10.1109/percomw.2013.6529487openalex-snapshot
AmbientSense: A real-time ambient sound recognition system for smartphones
inferredcites →https://doi.org/10.1109/percomw.2015.7134104openalex-snapshot
Towards detection of bad habits by fusing smartphone and smartwatch sensors
inferredcites →https://doi.org/10.1109/tce.2012.6227479openalex-snapshot
Environmental audio scene and activity recognition through mobile-based crowdsourcing
inferredcites →https://doi.org/10.1109/tkde.2011.51openalex-snapshot
A Knowledge-Driven Approach to Activity Recognition in Smart Homes
inferredcites →https://doi.org/10.1109/tsa.2005.854103openalex-snapshot
Audio-based context recognition
inferredcites →https://doi.org/10.1109/tst.2014.6838194openalex-snapshot
Activity recognition with smartphone sensors
inferredcites →https://doi.org/10.1145/1460412.1460445openalex-snapshot
Sensing meets mobile social networks
inferredcites →https://doi.org/10.1145/1964897.1964918openalex-snapshot
Activity recognition using cell phone accelerometers
inferredcites →https://doi.org/10.1145/2509352.2509396openalex-snapshot
Combining crowd-generated media and personal data
inferredcites →https://doi.org/10.1145/2541831.2541832openalex-snapshot
Towards scalable activity recognition
inferredcites →https://doi.org/10.1145/2647868.2655045openalex-snapshot
A Dataset and Taxonomy for Urban Sound Research
inferredcites →https://doi.org/10.1145/2678025.2701405openalex-snapshot
Inferring Meal Eating Activities in Real World Settings from Ambient Sounds
inferredcites →https://doi.org/10.1145/2750858.2807545openalex-snapshot
A practical approach for recognizing eating moments with wrist-mounted inertial sensing
inferredcites →https://doi.org/10.1186/s13636-018-0137-5openalex-snapshot
AudioPairBank: towards a large-scale tag-pair-based audio content analysis
inferredcites →https://doi.org/10.1613/jair.953openalex-snapshot
SMOTE: Synthetic Minority Over-sampling Technique
inferredcites →https://doi.org/10.21437/interspeech.2007-256openalex-snapshot
Conversation detection and speaker segmentation in privacy-sensitive situated speech data
inferredcites →https://doi.org/10.48550/arxiv.1201.0490openalex-snapshot
Scikit-learn: Machine Learning in Python
inferredcites →https://doi.org/10.48550/arxiv.1609.06570openalex-snapshot
Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning
inferredcites →https://doi.org/10.48550/arxiv.1610.09001openalex-snapshot
SoundNet: Learning Sound Representations from Unlabeled Video
inferredcites →https://doi.org/10.5555/1953048.2078195openalex-snapshot
Scikit-learn: Machine Learning in Python
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Audio-based Active and Assisted Living: A review of selected applications and future trends
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Real-Time Sound Event Classification for Human Activity of Daily Living using Deep Neural Network
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Deep artificial neural network based on environmental sound data for the generation of a children activity classification model
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