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Smartphone‐based activity recognition independent of device orientation and placement
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/dac.2540openalex-snapshot
Filtering approaches to accelerated consensus in diffusion sensor networks
inferredcites →https://doi.org/10.1002/dac.2888openalex-snapshot
Human activity recognition based on transformed accelerometer data from a mobile phone
inferredcites →https://doi.org/10.1002/dac.2947openalex-snapshot
Intelligent file transfer for smart handheld devices based on mobile cloud computing
inferredcites →https://doi.org/10.1007/978-3-319-00846-2_365openalex-snapshot
Detecting Accelerometer Placement to Improve Activity Classification
inferredcites →https://doi.org/10.1007/978-3-540-24646-6_1openalex-snapshot
Activity Recognition from User-Annotated Acceleration Data
inferredcites →https://doi.org/10.1007/978-3-642-02481-8_120openalex-snapshot
Activity Recognition from Accelerometer Data on a Mobile Phone
inferredcites →https://doi.org/10.1007/s00779-011-0493-yopenalex-snapshot
Unsupervised adaptation for acceleration-based activity recognition: robustness to sensor displacement and rotation
inferredcites →https://doi.org/10.1007/s10618-007-0064-zopenalex-snapshot
Experiencing SAX: a novel symbolic representation of time series
inferredcites →https://doi.org/10.1007/s10994-005-5829-2openalex-snapshot
Discovery of Time-Series Motif from Multi-Dimensional Data Based on MDL Principle
inferredcites →https://doi.org/10.1007/s11036-008-0112-yopenalex-snapshot
An Activity Recognition System For Mobile Phones
inferredcites →https://doi.org/10.1049/cp:20051557openalex-snapshot
Where's the phone? A study of mobile phone location in public spaces
inferredcites →https://doi.org/10.1109/bsn.2011.8openalex-snapshot
Accurate Activity Recognition Using a Mobile Phone Regardless of Device Orientation and Location
inferredcites →https://doi.org/10.1109/iccv.2007.4408978openalex-snapshot
Mode-seeking by Medoidshifts
inferredcites →https://doi.org/10.1109/icdm.2007.52openalex-snapshot
Detecting Subdimensional Motifs: An Efficient Algorithm for Generalized Multivariate Pattern Discovery
inferredcites →https://doi.org/10.1109/issnip.2009.5416810openalex-snapshot
Evolving discriminative features robust to sensor displacement for activity recognition in body area sensor networks
inferredcites →https://doi.org/10.1109/iswc.2009.12openalex-snapshot
Unsupervised Classifier Self-Calibration through Repeated Context Occurences: Is there Robustness against Sensor Displacement to Gain?
inferredcites →https://doi.org/10.1109/jsen.2011.2166066openalex-snapshot
Motion Measurement Using Inertial Sensors, Ultrasonic Sensors, and Magnetometers With Extended Kalman Filter for Data Fusion
inferredcites →https://doi.org/10.1109/mprv.2002.1037719openalex-snapshot
Activity and location recognition using wearable sensors
inferredcites →https://doi.org/10.1117/12.2043180openalex-snapshot
Human activity recognition by smartphones regardless of device orientation
inferredcites →https://doi.org/10.1145/1409635.1409639openalex-snapshot
Dealing with sensor displacement in motion-based onbody activity recognition systems
inferredcites →https://doi.org/10.1145/1460412.1460445openalex-snapshot
Sensing meets mobile social networks
inferredcites →https://doi.org/10.1145/1631040.1631042openalex-snapshot
Toward physical activity diary
inferredcites →https://doi.org/10.1145/1964897.1964918openalex-snapshot
Activity recognition using cell phone accelerometers
inferredcites →https://doi.org/10.1145/2494091.2496039openalex-snapshot
User, device and orientation independent human activity recognition on mobile phones
inferredcites →https://doi.org/10.1145/2638728.2638777openalex-snapshot
Activity recognition exploiting classifier level fusion of acceleration and physiological signals
inferredcites →https://doi.org/10.1145/956750.956808openalex-snapshot
Probabilistic discovery of time series motifs
inferredcites →https://doi.org/10.48550/arxiv.1206.6869openalex-snapshot
Recognizing Activities and Spatial Context Using Wearable Sensors
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/ett.3823openalex-snapshot
Sensor‐based activity recognition independent of device placement and orientation
inferred← citeshttps://doi.org/10.1007/978-3-030-58080-3_213-1openalex-snapshot
AIM in Eating Disorders
inferred← citeshttps://doi.org/10.1007/978-3-030-64573-1_213openalex-snapshot
AIM in Eating Disorders
inferred← citeshttps://doi.org/10.1007/978-3-030-94191-8_16openalex-snapshot
A Resilient Smart Architecture for Road Surface Condition Monitoring
inferred← citeshttps://doi.org/10.1007/s10489-019-01477-6openalex-snapshot
Personalized location recommendation using mobile phone usage information
inferred← citeshttps://doi.org/10.1016/j.inffus.2017.01.004openalex-snapshot
Kernel fusion based extreme learning machine for cross-location activity recognition
inferred← citeshttps://doi.org/10.1016/j.inffus.2017.05.004openalex-snapshot
Real-time activity monitoring with a wristband and a smartphone
inferred← citeshttps://doi.org/10.1016/j.neucom.2019.06.051openalex-snapshot
A hybrid deep convolutional and recurrent neural network for complex activity recognition using multimodal sensors
inferred← citeshttps://doi.org/10.1038/s41598-020-68225-6openalex-snapshot
Estimating wearable motion sensor performance from personal biomechanical models and sensor data synthesis
inferred← citeshttps://doi.org/10.1038/s41598-025-01710-yopenalex-snapshot
Empowering stroke recovery with upper limb rehabilitation monitoring using TinyML based heterogeneous classifiers
inferred← citeshttps://doi.org/10.1038/s41746-021-00514-4openalex-snapshot
A systematic review of smartphone-based human activity recognition methods for health research
inferred← citeshttps://doi.org/10.1049/tje2.12137openalex-snapshot
Synthetized inertial measurement units (IMUs) to evaluate the placement of wearable sensors on human body for motion recognition
inferred← citeshttps://doi.org/10.1080/10447318.2019.1664532openalex-snapshot
Investigating the Willingness of Sharing Real-Time Daily Activities among Friends
inferred← citeshttps://doi.org/10.1109/access.2020.3006163openalex-snapshot
A New Approach for Smoking Event Detection Using a Variational Autoencoder and Neural Decision Forest
inferred← citeshttps://doi.org/10.1109/compsac.2018.00148openalex-snapshot
CARMUS: Towards a General Framework for Continuous Activity Recognition with Missing Values on Smartphones
inferred← citeshttps://doi.org/10.1109/icic60109.2023.10382103openalex-snapshot
Visualizing Attitudinal Dynamics of Moving Objects via Android: Capturing Pitch, Roll, and Yaw Parameters
inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10650018openalex-snapshot
Contrastive Sensor Excitation for Generalizable Cross-Person Activity Recognition
inferred← citeshttps://doi.org/10.1109/tbme.2016.2604856openalex-snapshot
Hierarchical Complex Activity Representation and Recognition Using Topic Model and Classifier Level Fusion
inferred← citeshttps://doi.org/10.1109/tii.2017.2712746openalex-snapshot
Robust Human Activity Recognition Using Smartphone Sensors via CT-PCA and Online SVM
inferred← citeshttps://doi.org/10.1109/tmc.2018.2793913openalex-snapshot
Bi-View Semi-Supervised Learning Based Semantic Human Activity Recognition Using Accelerometers
inferred← citeshttps://doi.org/10.1109/tmc.2021.3061130openalex-snapshot
Adapting to Unknown Conditions in Learning-Based Mobile Sensing
inferred← citeshttps://doi.org/10.1109/tmc.2022.3171312openalex-snapshot
SALIENCE: An Unsupervised User Adaptation Model for Multiple Wearable Sensors Based Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/uic-atc-scalcom-cbdcom-iop.2015.44openalex-snapshot
An Interpretable Orientation and Placement Invariant Approach for Smartphone Based Activity Recognition
inferred← citeshttps://doi.org/10.1145/2971648.2971708openalex-snapshot
Wearable sensor based multimodal human activity recognition exploiting the diversity of classifier ensemble
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/10.1155/2019/7038259openalex-snapshot
A Travel Route Recommendation System Based on Smart Phones and IoT Environment
inferred← citeshttps://doi.org/10.1186/s12938-024-01213-3openalex-snapshot
The effectiveness of simple heuristic features in sensor orientation and placement problems in human activity recognition using a single smartphone accelerometer
inferred← citeshttps://doi.org/10.32657/10356/70606openalex-snapshot
Occupant sensing in buildings : methods for occupant number, location and activity
inferred← citeshttps://doi.org/10.3390/s21093243openalex-snapshot
Smartphone-Based Activity Recognition in a Pedestrian Navigation Context
inferred← citeshttps://doi.org/10.3390/s21103319openalex-snapshot
Wearable-Sensors-Based Platform for Gesture Recognition of Autism Spectrum Disorder Children Using Machine Learning Algorithms
inferred← citeshttps://doi.org/10.3390/s21154949openalex-snapshot
A Framework for Maternal Physical Activities and Health Monitoring Using Wearable Sensors
inferred← citeshttps://doi.org/10.48550/arxiv.1910.03970openalex-snapshot
A systematic review of smartphone-based human activity recognition for health research
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