On the public citation graph
Weakly Supervised Recognition of Daily Life Activities with Wearable Sensors
0 signed · 177 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1006/cviu.1998.0726openalex-snapshot
Parameterized Modeling and Recognition of Activities
inferredcites →https://doi.org/10.1007/11748625_1openalex-snapshot
A Practical Approach to Recognizing Physical Activities
inferredcites →https://doi.org/10.1007/11752967_12openalex-snapshot
Toward Scalable Activity Recognition for Sensor Networks
inferredcites →https://doi.org/10.1007/978-3-540-24646-6_1openalex-snapshot
Activity Recognition from User-Annotated Acceleration Data
inferredcites →https://doi.org/10.1007/978-3-540-24646-6_10openalex-snapshot
Activity Recognition in the Home Using Simple and Ubiquitous Sensors
inferredcites →https://doi.org/10.1007/978-3-540-74853-3_28openalex-snapshot
A Long-Term Evaluation of Sensing Modalities for Activity Recognition
inferredcites →https://doi.org/10.1007/978-3-540-75160-1_4openalex-snapshot
Scalable Recognition of Daily Activities with Wearable Sensors
inferredcites →https://doi.org/10.1007/978-3-642-01721-6_10openalex-snapshot
Activity Recognition from Sparsely Labeled Data Using Multi-Instance Learning
inferredcites →https://doi.org/10.1109/bsn.2006.24openalex-snapshot
eWatch: a wearable sensor and notification platform
inferredcites →https://doi.org/10.1109/bsn.2006.6openalex-snapshot
Activity Recognition and Monitoring Using Multiple Sensors on Different Body Positions
inferredcites →https://doi.org/10.1109/cvpr.2005.179openalex-snapshot
Hybrid Models for Human Motion Recognition
inferredcites →https://doi.org/10.1109/cvpr.2005.61openalex-snapshot
Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model
inferredcites →https://doi.org/10.1109/cvpr.2007.383132openalex-snapshot
A Hierarchical Model of Shape and Appearance for Human Action Classification
inferredcites →https://doi.org/10.1109/cvpr.2007.383298openalex-snapshot
Recognizing Human Activities from Silhouettes: Motion Subspace and Factorial Discriminative Graphical Model
inferredcites →https://doi.org/10.1109/iswc.2008.4911585openalex-snapshot
Using a complex multi-modal on-body sensor system for activity spotting
inferredcites →https://doi.org/10.1109/iswc.2008.4911586openalex-snapshot
Using rhythm awareness in long-term activity recognition
inferredcites →https://doi.org/10.1109/iswc.2008.4911590openalex-snapshot
Exploring semi-supervised and active learning for activity recognition
inferredcites →https://doi.org/10.1109/iswc.2009.24openalex-snapshot
Multi-graph Based Semi-supervised Learning for Activity Recognition
inferredcites →https://doi.org/10.1109/rtcsa.2007.17openalex-snapshot
Activity Recognition Based on Semi-supervised Learning
inferredcites →https://doi.org/10.1109/tpami.2006.197openalex-snapshot
Activity Recognition of Assembly Tasks Using Body-Worn Microphones and Accelerometers
inferredcites →https://doi.org/10.1109/tpami.2007.70711openalex-snapshot
Actions as Space-Time Shapes
inferredcites →https://doi.org/10.1145/1357054.1357159openalex-snapshot
Experience sampling for building predictive user models
inferredcites →https://doi.org/10.1145/1409635.1409638openalex-snapshot
Discovery of activity patterns using topic models
inferredcites →https://doi.org/10.1145/1409635.1409655openalex-snapshot
On using existing time-use study data for ubiquitous computing applications
inferredcites →https://doi.org/10.1145/765891.766101openalex-snapshot
A context-aware experience sampling tool
inferredcites →https://doi.org/10.1184/r1/6608360openalex-snapshot
Person Identification in Webcam Images: An Application of Semi-Supervised Learning
inferredcites →https://doi.org/10.48550/arxiv.1206.5274openalex-snapshot
On Discarding, Caching, and Recalling Samples in Active Learning
inferredcites →https://doi.org/10.48550/arxiv.1206.6869openalex-snapshot
Recognizing Activities and Spatial Context Using Wearable Sensors
inferredcites →https://doi.org/10.7551/mitpress/1120.001.0001openalex-snapshot
Advances in Neural Information Processing Systems 14
inferredcites →https://doi.org/10.7551/mitpress/9780262033589.001.0001openalex-snapshot
Semi-Supervised Learning
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/aisy.202300239openalex-snapshot
Using IoT Smart Basketball and Wristband Motion Data to Quantitatively Evaluate Action Indicators for Basketball Shooting
inferred← citeshttps://doi.org/10.1002/widm.1254openalex-snapshot
Recent trends in machine learning for human activity recognition—A survey
inferred← citeshttps://doi.org/10.1007/978-3-030-01054-6_86openalex-snapshot
Addressing the Problem of Activity Recognition with Experience Sampling and Weak Learning
inferred← citeshttps://doi.org/10.1007/978-3-030-48332-6_5openalex-snapshot
Using Mobile Sensing on Smartphones for the Management of Daily Life Tasks
inferred← citeshttps://doi.org/10.1007/978-3-030-59416-9_4openalex-snapshot
Few-Shot Human Activity Recognition on Noisy Wearable Sensor Data
inferred← citeshttps://doi.org/10.1007/978-3-030-68790-8_15openalex-snapshot
Daily Living Activity Recognition Using Wearable Devices: A Features-Rich Dataset and a Novel Approach
inferred← citeshttps://doi.org/10.1007/978-3-031-32538-0_5openalex-snapshot
Mobile-Sensing auf Smartphones für das Aufgabenmanagement im täglichen Leben
inferred← citeshttps://doi.org/10.1007/978-3-032-10486-1_16openalex-snapshot
MIHT: A Hoeffding Tree for Time Series Classification Using Multiple Instance Learning
inferred← citeshttps://doi.org/10.1007/978-3-319-13186-3_29openalex-snapshot
Associative Classification for Human Activity Inference on Smart Phones
inferred← citeshttps://doi.org/10.1007/978-3-319-26401-1_5openalex-snapshot
Parameter Optimization for Online Change Detection in Activity Monitoring Using Multivariate Exponentially Weighted Moving Average (MEWMA)
inferred← citeshttps://doi.org/10.1007/978-3-319-57021-1_18openalex-snapshot
Robust Online Gesture Recognition with Crowdsourced Annotations
inferred← citeshttps://doi.org/10.1007/978-3-319-76947-9_19openalex-snapshot
Unsupervised Habitual Activity Detection in Accelerometer Data
inferred← citeshttps://doi.org/10.1007/978-3-642-27491-6_7openalex-snapshot
Different sADL Day Patterns Recorded by an Interaction-System Based on Radio Modules
inferred← citeshttps://doi.org/10.1007/978-981-16-8881-2_27openalex-snapshot
Study of Animal Behavior and Machine Learning
inferred← citeshttps://doi.org/10.1007/s12046-021-01659-4openalex-snapshot
Structure-sensitive graph-based multiple-instance semi-supervised learning
inferred← citeshttps://doi.org/10.1007/s12652-019-01236-yopenalex-snapshot
Key feature identification for recognition of activities performed by a smart-home resident
inferred← citeshttps://doi.org/10.1007/s12652-020-02348-6openalex-snapshot
Activity recognition in a smart home using local feature weighting and variants of nearest-neighbors classifiers
inferred← citeshttps://doi.org/10.1007/s42452-025-06720-zopenalex-snapshot
Review on environmental and mobility applications based real-time sensors
inferred← citeshttps://doi.org/10.1016/j.aei.2026.105079openalex-snapshot
A multi-instance Hoeffding Anytime Tree approach for interpretable failure detection in industrial systems
inferred← citeshttps://doi.org/10.1016/j.asoc.2015.03.045openalex-snapshot
Integration of discriminative and generative models for activity recognition in smart homes
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2021.104316openalex-snapshot
A review of the evolution of scientific literature on technology-assisted approaches using RGB-D sensors for musculoskeletal health monitoring
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2022.105458openalex-snapshot
Machine learning in medical applications: A review of state-of-the-art methods
inferred← citeshttps://doi.org/10.1016/j.eswa.2012.08.066openalex-snapshot
Online activity recognition using evolving classifiers
inferred← citeshttps://doi.org/10.1016/j.eswa.2015.04.020openalex-snapshot
Activity recognition with weighted frequent patterns mining in smart environments
inferred← citeshttps://doi.org/10.1016/j.future.2022.03.006openalex-snapshot
Multiple-instance domain adaptation for cost-effective sensor-based human activity recognition
inferred← citeshttps://doi.org/10.1016/j.inffus.2017.08.002openalex-snapshot
Optimizing multi-sensor deployment via ensemble pruning for wearable activity recognition
inferred← citeshttps://doi.org/10.1016/j.ins.2016.08.006openalex-snapshot
Online personal risk detection based on behavioural and physiological patterns
inferred← citeshttps://doi.org/10.1016/j.jallcom.2026.187125openalex-snapshot
Advances in carbon-based flexible temperature sensors: Materials, mechanism, fabrication, and applications
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.110720openalex-snapshot
Self-relation attention networks for weakly supervised few-shot activity recognition
inferred← citeshttps://doi.org/10.1016/j.patcog.2015.03.004openalex-snapshot
Recognizing human motions through mixture modeling of inertial data
inferred← citeshttps://doi.org/10.1016/j.patcog.2017.10.009openalex-snapshot
Multiple instance learning: A survey of problem characteristics and applications
inferred← citeshttps://doi.org/10.1016/j.pmcj.2014.05.006openalex-snapshot
Using unlabeled data in a sparse-coding framework for human activity recognition
inferred← citeshttps://doi.org/10.1016/j.pmcj.2016.01.004openalex-snapshot
Segmenting human activities based on HMMs using smartphone inertial sensors
inferred← citeshttps://doi.org/10.1016/j.pmcj.2017.07.001openalex-snapshot
Learning multi-level features for sensor-based human action recognition
inferred← citeshttps://doi.org/10.1016/j.pmcj.2019.03.005openalex-snapshot
An investigation into smartphone based weakly supervised activity recognition systems
inferred← citeshttps://doi.org/10.1016/j.sintl.2021.100121openalex-snapshot
Sensors for daily life: A review
inferred← citeshttps://doi.org/10.1016/j.smhl.2023.100431openalex-snapshot
Activity classification using unsupervised domain transfer from body worn sensors
inferred← citeshttps://doi.org/10.1049/pbhe002eopenalex-snapshot
Machine Learning for Healthcare Technologies
inferred← citeshttps://doi.org/10.1080/10447318.2022.2101589openalex-snapshot
Understanding the Roles of Video and Sensor Data in the Annotation of Human Activities
inferred← citeshttps://doi.org/10.1109/access.2020.3038084openalex-snapshot
Personalizing Activity Recognition With a Clustering Based Semi-Population Approach
inferred← citeshttps://doi.org/10.1109/access.2021.3092763openalex-snapshot
Improving Daily Routine Recognition in Hearing Aids Using Sequence Learning
inferred← citeshttps://doi.org/10.1109/access.2024.3412653openalex-snapshot
Entropy and Memory Aware Active Transfer Learning in Smart Sensing Systems
inferred← citeshttps://doi.org/10.1109/bibm62325.2024.10821840openalex-snapshot
Adaptive Domain-Adversarial Multi-Instance Learning for Wearable-Sensor-Based Parkinson’s Disease Severity Assessment
inferred← citeshttps://doi.org/10.1109/cicsyn.2013.53openalex-snapshot
Unsupervised Human Activity Detection with Skeleton Data from RGB-D Sensor
inferred← citeshttps://doi.org/10.1109/compsac48688.2020.0-212openalex-snapshot
Towards Identifying the Optimal Timing for Near Real-Time Smoking Interventions Using Commercial Wearable Devices
inferred← citeshttps://doi.org/10.1109/comst.2014.2381246openalex-snapshot
Context-Awareness for Mobile Sensing: A Survey and Future Directions
inferred← citeshttps://doi.org/10.1109/cvprw.2012.6239189openalex-snapshot
Wearable omnidirectional vision system for personal localization and guidance
inferred← citeshttps://doi.org/10.1109/globalsip.2016.7906000openalex-snapshot
Hierarchical activity clustering analysis for robust graphical structure recovery
inferred← citeshttps://doi.org/10.1109/icaaic53929.2022.9793104openalex-snapshot
Edge-based Heart Disease Prediction Device using Internet of Things
inferred← citeshttps://doi.org/10.1109/icassp.2018.8462099openalex-snapshot
Discriminative Probabilistic Framework for Generalized Multi-Instance Learning
inferred← citeshttps://doi.org/10.1109/icc.2015.7248373openalex-snapshot
Feature selection and data balancing for activity recognition in smart homes
inferred← citeshttps://doi.org/10.1109/icdcs.2017.264openalex-snapshot
Unseen Activity Recognitions: A Hierarchical Active Transfer Learning Approach
inferred← citeshttps://doi.org/10.1109/icievicivpr52578.2021.9564211openalex-snapshot
AutoAct: An Auto Labeling Approach Based on Activities of Daily Living in the Wild Domain
inferred← citeshttps://doi.org/10.1109/ieee.iciot.2017.18openalex-snapshot
A Gamification Framework for Sensor Data Analytics
inferred← citeshttps://doi.org/10.1109/iembs.2011.6090517openalex-snapshot
Evaluation of a radio based ADL interaction recognition system in a day hospital for old age psychiatry with healthy probands
inferred← citeshttps://doi.org/10.1109/iemcon.2018.8615017openalex-snapshot
Analytical Survey on Wearable Sensors in Monitoring Physiological Responses and Vital Signs
inferred← citeshttps://doi.org/10.1109/issc.2018.8585343openalex-snapshot
Reducing the intrusion of user-trained activity recognition systems
inferred← citeshttps://doi.org/10.1109/issc.2019.8904948openalex-snapshot
User-trained activity recognition using smartphones and weak supervision
inferred← citeshttps://doi.org/10.1109/isspit47144.2019.9001791openalex-snapshot
Daily Routine Recognition with Visual Interactive Labeling by Fusing Acceleration and Audio Signals
inferred← citeshttps://doi.org/10.1109/itt56123.2022.9863940openalex-snapshot
HemiPhysioData - A SmartWatch App and Methodolgy to collect sensor data of Upper Limbs
inferred← citeshttps://doi.org/10.1109/jiot.2020.2985082openalex-snapshot
Deep-Learning-Enhanced Human Activity Recognition for Internet of Healthcare Things
inferred← citeshttps://doi.org/10.1109/jrfid.2024.3383609openalex-snapshot
Planar Omnidirectional Detection of RFID/NFC Patches Inside a Cubic Structure
inferred← citeshttps://doi.org/10.1109/jsen.2014.2370945openalex-snapshot
Wearable Sensors for Human Activity Monitoring: A Review
inferred← citeshttps://doi.org/10.1109/jsen.2015.2449862openalex-snapshot
Ambulatory Monitoring Using Passive Computational RFID Sensors
inferred← citeshttps://doi.org/10.1109/jsen.2016.2628346openalex-snapshot
A Survey on Activity Detection and Classification Using Wearable Sensors
inferred← citeshttps://doi.org/10.1109/jsen.2021.3128046openalex-snapshot
ANN-Enhanced IoT Wristband for Recognition of Player Identity and Shot Types Based on Basketball Shooting Motion Analysis
inferred← citeshttps://doi.org/10.1109/m2vip.2017.8211471openalex-snapshot
Comprehensive evaluation of human activity classification based on inertia measurement unit with air pressure sensor
inferred← citeshttps://doi.org/10.1109/mprv.2021.3129500openalex-snapshot
Obtaining Labels for In-the-Wild Studies: Using Visual Cues and Recall
inferred← citeshttps://doi.org/10.1109/nsens.2018.8713634openalex-snapshot
Basketball Movements Recognition Using a Wrist Wearable Inertial Measurement Unit
inferred← citeshttps://doi.org/10.1109/percomw.2013.6529455openalex-snapshot
Exploring concept drift using interactive simulations
inferred← citeshttps://doi.org/10.1109/percomw.2017.7917548openalex-snapshot
NFC based dataset annotation within a behavioral alerting platform
inferred← citeshttps://doi.org/10.1109/percomw.2018.8480292openalex-snapshot
Personalized Online Training for Physical Activity monitoring using weak labels
inferred← citeshttps://doi.org/10.1109/raeeucci57140.2023.10134081openalex-snapshot
Cardio Monitoring and Cardiac disease prediction using Machine Learning
inferred← citeshttps://doi.org/10.1109/smartworld-uic-atc-scalcom-iop-sci.2019.00071openalex-snapshot
A Public Domain Dataset for Human Activity Recognition in Free-Living Conditions
inferred← citeshttps://doi.org/10.1109/surv.2012.110112.00192openalex-snapshot
A Survey on Human Activity Recognition using Wearable Sensors
inferred← citeshttps://doi.org/10.1109/tbme.2016.2631246openalex-snapshot
Unobtrusive and Wearable Systems for Automatic Dietary Monitoring
inferred← citeshttps://doi.org/10.1109/tcyb.2015.2396291openalex-snapshot
Pervasive Sound Sensing: A Weakly Supervised Training Approach
inferred← citeshttps://doi.org/10.1109/thms.2015.2489688openalex-snapshot
Toward Personalized Activity Recognition Systems With a Semipopulation Approach
inferred← citeshttps://doi.org/10.1109/tii.2018.2889315openalex-snapshot
A Novel Semisupervised Deep Learning Method for Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/tmc.2014.2345053openalex-snapshot
Boosting Mobile Apps under Imbalanced Sensing Data
inferred← citeshttps://doi.org/10.1109/tpami.2016.2637350openalex-snapshot
Supporting One-Time Point Annotations for Gesture Recognition
inferred← citeshttps://doi.org/10.1145/2493432.2493511openalex-snapshot
Towards zero-shot learning for human activity recognition using semantic attribute sequence model
inferred← citeshttps://doi.org/10.1145/2499621openalex-snapshot
A tutorial on human activity recognition using body-worn inertial sensors
inferred← citeshttps://doi.org/10.1145/2638728.2641297openalex-snapshot
Training human activity recognition for labels with inaccurate time stamps
inferred← citeshttps://doi.org/10.1145/2638728.2641300openalex-snapshot
On strategies for budget-based online annotation in human activity recognition
inferred← citeshttps://doi.org/10.1145/2886096openalex-snapshot
A Hardware-Assisted Energy-Efficient Processing Model for Activity Recognition Using Wearables
inferred← citeshttps://doi.org/10.1145/2908961.2931732openalex-snapshot
Exploring the Application of Hybrid Evolutionary Computation Techniques to Physical Activity Recognition
inferred← citeshttps://doi.org/10.1145/2968219.2968294openalex-snapshot
4 th workshop on human activity sensing corpus and applications
inferred← citeshttps://doi.org/10.1145/2971648.2971701openalex-snapshot
Learning from less for better
inferred← citeshttps://doi.org/10.1145/2994374.2994378openalex-snapshot
Mobile Activity Recognition through Training Labels with Inaccurate Activity Segments
inferred← citeshttps://doi.org/10.1145/3123024.3124410openalex-snapshot
5th Int. workshop on human activity sensing corpus and applications (HASCA)
inferred← citeshttps://doi.org/10.1145/3158645openalex-snapshot
Activity Recognition with Evolving Data Streams
inferred← citeshttps://doi.org/10.1145/3341162.3345577openalex-snapshot
Nurse care activity recognition challenge
inferred← citeshttps://doi.org/10.1145/3351228openalex-snapshot
Leveraging Active Learning and Conditional Mutual Information to Minimize Data Annotation in Human Activity Recognition
inferred← citeshttps://doi.org/10.1145/3384419.3430580openalex-snapshot
Inferring finer-grained human information with multi-modal cross-granularity learning
inferred← citeshttps://doi.org/10.1145/3410530.3414320openalex-snapshot
Fine-grained activities recognition with coarse-grained labeled multi-modal data
inferred← citeshttps://doi.org/10.1145/3448074openalex-snapshot
Unsupervised Human Activity Representation Learning with Multi-task Deep Clustering
inferred← citeshttps://doi.org/10.1145/3460421.3480421openalex-snapshot
Using additional training sensors to improve single-sensor complex activity recognition
inferred← citeshttps://doi.org/10.1145/3675095.3676613openalex-snapshot
Weak-Annotation of HAR Datasets using Vision Foundation Models
inferred← citeshttps://doi.org/10.1146/annurev-neuro-070815-013845openalex-snapshot
Computational Analysis of Behavior
inferred← citeshttps://doi.org/10.1155/2013/175064openalex-snapshot
Multiple Feature Fusion Based on Co-Training Approach and Time Regularization for Place Classification in Wearable Video
inferred← citeshttps://doi.org/10.1155/2021/9958256openalex-snapshot
An IoT-Based Motion Tracking System for Next-Generation Foot-Related Sports Training and Talent Selection
inferred← citeshttps://doi.org/10.1186/s13673-020-00240-yopenalex-snapshot
CAPHAR: context-aware personalized human activity recognition using associative learning in smart environments
inferred← citeshttps://doi.org/10.1186/s13677-023-00467-xopenalex-snapshot
Performance evaluation of multivariate statistical techniques using edge-enabled optimisation for change detection in activity monitoring
inferred← citeshttps://doi.org/10.1201/b18058-5openalex-snapshot
Energy Efficiency in Physical Hardware
inferred← citeshttps://doi.org/10.1201/b18058-9openalex-snapshot
- Energy Efficiency in Physical Hardware
inferred← citeshttps://doi.org/10.1541/ieejeiss.134.1724openalex-snapshot
An Incremental Approach of Clustering for Human Activity Discovery
inferred← citeshttps://doi.org/10.1609/aaai.v33i01.33017699openalex-snapshot
Distribution-Based Semi-Supervised Learning for Activity Recognition
inferred← citeshttps://doi.org/10.18494/sam.2018.1962openalex-snapshot
Automatic Labeling Framework for Wearable Sensor-based Human Activity Recognition
inferred← citeshttps://doi.org/10.18535/ijecs/v5i7.22openalex-snapshot
Review on Various Data Mining Approaches on Smart Phone
inferred← citeshttps://doi.org/10.22028/d291-26562openalex-snapshot
Combining visual recognition and computational linguistics : linguistic knowledge for visual recognition and natural language descriptions of visual content
inferred← citeshttps://doi.org/10.3156/jsoft.28.6_170openalex-snapshot
Human Sensing with Wearable Sensors
inferred← citeshttps://doi.org/10.3217/jucs-019-09openalex-snapshot
JUCS - Journal of Universal Computer Science
inferred← citeshttps://doi.org/10.32657/10220/45814openalex-snapshot
Building occupant sensing : occupancy prediction and behavior recognition
inferred← citeshttps://doi.org/10.32657/10356/137691openalex-snapshot
Sensor-based activity recognition via learning from distributions
inferred← citeshttps://doi.org/10.3389/fcomp.2024.1379788openalex-snapshot
A matter of annotation: an empirical study on in situ and self-recall activity annotations from wearable sensors
inferred← citeshttps://doi.org/10.3389/fnhum.2018.00532openalex-snapshot
EEG-Based Neurocognitive Metrics May Predict Simulated and On-Road Driving Performance in Older Drivers
inferred← citeshttps://doi.org/10.3390/chemosensors12080147openalex-snapshot
Recent Progress in MXenes-Based Materials for Gas Sensors and Photodetectors
inferred← citeshttps://doi.org/10.3390/electronics10030318openalex-snapshot
A Survey on Machine Learning-Based Performance Improvement of Wireless Networks: PHY, MAC and Network Layer
inferred← citeshttps://doi.org/10.3390/electronics12204323openalex-snapshot
A Comprehensive Review on Multiple Instance Learning
inferred← citeshttps://doi.org/10.3390/electronics9091357openalex-snapshot
Recent Progress in Sensing and Computing Techniques for Human Activity Recognition and Motion Analysis
inferred← citeshttps://doi.org/10.3390/fi11010023openalex-snapshot
Surveying Human Habit Modeling and Mining Techniques in Smart Spaces
inferred← citeshttps://doi.org/10.3390/s140915861openalex-snapshot
Evaluation of Prompted Annotation of Activity Data Recorded from a Smart Phone
inferred← citeshttps://doi.org/10.3390/s16060790openalex-snapshot
Data-Driven Design of Intelligent Wireless Networks: An Overview and Tutorial
inferred← citeshttps://doi.org/10.3390/s16111784openalex-snapshot
Optimal Parameter Exploration for Online Change-Point Detection in Activity Monitoring Using Genetic Algorithms
inferred← citeshttps://doi.org/10.3390/s17102328openalex-snapshot
Smart Annotation of Cyclic Data Using Hierarchical Hidden Markov Models
inferred← citeshttps://doi.org/10.3390/s18072134openalex-snapshot
Automatic Annotation of Unlabeled Data from Smartphone-Based Motion and Location Sensors
inferred← citeshttps://doi.org/10.3390/s18072203openalex-snapshot
Automatic Annotation for Human Activity Recognition in Free Living Using a Smartphone
inferred← citeshttps://doi.org/10.3390/s19030501openalex-snapshot
A Semi-Automatic Annotation Approach for Human Activity Recognition
inferred← citeshttps://doi.org/10.3390/s20030825openalex-snapshot
Zero-Shot Human Activity Recognition Using Non-Visual Sensors
inferred← citeshttps://doi.org/10.3390/s20236786openalex-snapshot
On the Challenges and Potential of Using Barometric Sensors to Track Human Activity
inferred← citeshttps://doi.org/10.4018/979-8-3693-2069-3.ch027openalex-snapshot
Analysis on Wireless Technologies and Application of Sensors in the Agriculture Sector
inferred← citeshttps://doi.org/10.4108/eai.13-7-2018.159604openalex-snapshot
A Pervasive Sensing Approach to Automatic Assessment of Trunk Coordination Using Mobile Devices
inferred← citeshttps://doi.org/10.48084/etasr.8211openalex-snapshot
Effective Human Activity Recognition through Accelerometer Data
inferred← citeshttps://doi.org/10.48550/arxiv.1811.03064openalex-snapshot
Towards a Near Universal Time Series Data Mining Tool: Introducing the Matrix Profile
inferred← citeshttps://doi.org/10.48550/arxiv.2002.11284openalex-snapshot
Achieving Single-Sensor Complex Activity Recognition from Multi-Sensor Training Data
inferred← citeshttps://doi.org/10.5013/ijssst.a.14.05.06openalex-snapshot
An Unsupervised Approach for Human Activity Detection and Recognition
inferred← citeshttps://doi.org/10.5121/ijwmn.2020.12103openalex-snapshot
IoT-based Activity Recognition with Machine Learning from Smartwatch
inferred← citeshttps://doi.org/10.5821/dissertation-2117-95551openalex-snapshot
Smartphone-based human activity recognition
inferred← citeshttps://doi.org/10.61927/igmin123openalex-snapshot
A Survey of Motion Data Processing and Classification Techniques Based on Wearable Sensors
inferred← citeshttps://doi.org/10.70675/e1d74124z7080z4564z9804z501d417a4179openalex-snapshot
Modèles statistiques avancés pour la reconnaissance de l’activité physique dans un environnement non contrôlé en utilisant un réseau d’objets connectés
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.