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Human activity recognition based on transformed accelerometer data from a mobile phone
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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.1211openalex-snapshot
A sliding window‐based false‐negative approach for ubiquitous data stream analysis
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.2778openalex-snapshot
A smartphone‐centric platform for remote health monitoring of heart failure
inferredcites →https://doi.org/10.1007/978-3-642-16355-5_42openalex-snapshot
Activity Recognition on an Accelerometer Embedded Mobile Phone with Varying Positions and Orientations
inferredcites →https://doi.org/10.1007/978-3-642-21219-2_58openalex-snapshot
Activity Recognition Using Hierarchical Hidden Markov Models on a Smartphone with 3D Accelerometer
inferredcites →https://doi.org/10.1007/s00779-011-0478-xopenalex-snapshot
Trends in measuring human behavior and interaction
inferredcites →https://doi.org/10.1007/s00779-012-0515-4openalex-snapshot
Activity logging using lightweight classification techniques in mobile devices
inferredcites →https://doi.org/10.1007/s11036-012-0400-4openalex-snapshot
Analysis of Social Interactions Through Mobile Phones
inferredcites →https://doi.org/10.1007/s12668-013-0088-3openalex-snapshot
A Review and Taxonomy of Activity Recognition on Mobile Phones
inferredcites →https://doi.org/10.1016/j.trb.2013.09.008openalex-snapshot
Daily activity pattern recognition by using support vector machines with multiple classes
inferredcites →https://doi.org/10.1109/bsn.2010.55openalex-snapshot
A Device-Orientation Independent Method for Activity Recognition
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/ccnc.2013.6488584openalex-snapshot
Activity recognition using smartphone sensors
inferredcites →https://doi.org/10.1109/ie.2012.39openalex-snapshot
Simple and Complex Activity Recognition through Smart Phones
inferredcites →https://doi.org/10.1109/iswc.2003.1241424openalex-snapshot
Using gravity to estimate accelerometer orientation
inferredcites →https://doi.org/10.1109/iswc.2009.33openalex-snapshot
Which Way Am I Facing: Inferring Horizontal Device Orientation from an Accelerometer Signal
inferredcites →https://doi.org/10.1109/iswc.2012.23openalex-snapshot
Energy-Efficient Continuous Activity Recognition on Mobile Phones: An Activity-Adaptive Approach
inferredcites →https://doi.org/10.1109/mcom.2010.5560598openalex-snapshot
A survey of mobile phone sensing
inferredcites →https://doi.org/10.1145/1631040.1631042openalex-snapshot
Toward physical activity diary
inferredcites →https://doi.org/10.1145/1689239.1689243openalex-snapshot
Using mobile phones to determine transportation modes
inferredcites →https://doi.org/10.1145/1869983.1869992openalex-snapshot
The Jigsaw continuous sensing engine for mobile phone applications
inferredcites →https://doi.org/10.1145/1964897.1964918openalex-snapshot
Activity recognition using cell phone accelerometers
inferredcites →https://doi.org/10.1145/2070942.2070949openalex-snapshot
Balancing energy, latency and accuracy for mobile sensor data classification
inferredcites →https://doi.org/10.1145/2494091.2496039openalex-snapshot
User, device and orientation independent human activity recognition on mobile phones
inferredcites →https://doi.org/10.1201/b11152openalex-snapshot
3D Math Primer for Graphics and Game Development
inferredcites →https://doi.org/10.5923/j.bioinformatics.20110101.01openalex-snapshot
Estimating Protein Functions Correlation Based on Overlapping Proteins and Cluster Interactions
inferredcites →https://doi.org/10.9781/ijimai.2012.155openalex-snapshot
Recognizing Human Activities User-independently on Smartphones Based on Accelerometer Data
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/dac.3010openalex-snapshot
Smartphone‐based activity recognition independent of device orientation and placement
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Security protocols in body sensor networks using visible light communications
inferred← citeshttps://doi.org/10.1007/978-3-319-95276-5_2openalex-snapshot
Continuous User Authentication Using Smartwatch Motion Sensor Data
inferred← citeshttps://doi.org/10.1007/s11042-022-12099-5openalex-snapshot
Determining the most relevant frequency bands in motion identification by accelerometer sensors
inferred← citeshttps://doi.org/10.1016/j.neucom.2023.127145openalex-snapshot
Reinforcement learning for Hybrid Disassembly Line Balancing Problems
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/10.1109/access.2020.3037715openalex-snapshot
Human Activity Recognition Using Inertial, Physiological and Environmental Sensors: A Comprehensive Survey
inferred← citeshttps://doi.org/10.1109/anzcc56036.2022.9966864openalex-snapshot
Proximal Policy Optimization Algorithm for Multi-objective Disassembly Line Balancing Problems
inferred← citeshttps://doi.org/10.1109/ccoms.2019.8821638openalex-snapshot
Designing Classifier For Human Activity Recognition Using Artificial Neural Network
inferred← citeshttps://doi.org/10.1109/honet50430.2020.9322655openalex-snapshot
HHARNet: Taking inspiration from Inception and Dense Networks for Human Activity Recognition using Inertial Sensors
inferred← citeshttps://doi.org/10.1109/iccsi53130.2021.9736248openalex-snapshot
Machine Learning for Colorectal Cancer Risk Prediction
inferred← citeshttps://doi.org/10.1109/iccsi53130.2021.9736254openalex-snapshot
Hospital Length of Stay Prediction with Ensemble Methods in Machine Learning
inferred← citeshttps://doi.org/10.1109/iccsi55536.2022.9970640openalex-snapshot
Generalized Stochastic Petri Net Based Simulation of IoT Supported Dynamic Navigation in Teaching Building Evacuation
inferred← citeshttps://doi.org/10.1109/icisce.2017.93openalex-snapshot
iWalk: Let Your Smartphone Remember You
inferred← citeshttps://doi.org/10.1109/icmcce.2017.47openalex-snapshot
A Novel Feature Map for Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/ipin.2015.7346945openalex-snapshot
Activity recognition on handheld devices for pedestrian indoor navigation
inferred← citeshttps://doi.org/10.1109/jiot.2026.3721301openalex-snapshot
Structured Multidomain Fusion Encoding for Vision-Sensed Skeleton-Based Action Recognition
inferred← citeshttps://doi.org/10.1109/jsen.2024.3380076openalex-snapshot
A Human Activity Recognition Scheme Using Mobile Smartphones Based on Varying Orientations and Positions
inferred← citeshttps://doi.org/10.1109/smc53654.2022.9945073openalex-snapshot
A Q-Learning-based Selective Disassembly Sequence Planning Method
inferred← citeshttps://doi.org/10.1109/smc53654.2022.9945173openalex-snapshot
An Improved Advantage Actor-Critic Algorithm for Disassembly Line Balancing Problems Considering Tools Deterioration
inferred← citeshttps://doi.org/10.1109/tsmc.2022.3227919openalex-snapshot
Hierarchical Deep Reinforcement Learning With Experience Sharing for Metaverse in Education
inferred← citeshttps://doi.org/10.1109/wocc58016.2023.10139382openalex-snapshot
Hybrid Disassembly Line Optimization with Reinforcement Learning
inferred← citeshttps://doi.org/10.23919/fruct64283.2024.10749939openalex-snapshot
Accelerometer and Gyroscope Synthetic Data Calculation based on Driver Smartphone GPS
inferred← citeshttps://doi.org/10.24382/854openalex-snapshot
Transparent Authentication Utilising Gait Recognition
inferred← citeshttps://doi.org/10.3389/fnbot.2021.698779openalex-snapshot
A New Residual Dense Network for Dance Action Recognition From Heterogeneous View Perception
inferred← citeshttps://doi.org/10.3390/app131810529openalex-snapshot
A Hybrid Human Activity Recognition Method Using an MLP Neural Network and Euler Angle Extraction Based on IMU Sensors
inferred← citeshttps://doi.org/10.3390/math12060836openalex-snapshot
An Optimized Advantage Actor-Critic Algorithm for Disassembly Line Balancing Problem Considering Disassembly Tool Degradation
inferred← citeshttps://doi.org/10.3390/s18010297openalex-snapshot
A Novel Walking Detection and Step Counting Algorithm Using Unconstrained Smartphones
inferred← citeshttps://doi.org/10.3390/s22124397openalex-snapshot
Accuracy Improvement of Vehicle Recognition by Using Smart Device Sensors
inferred← citeshttps://doi.org/10.35200/explore.v11i2.427openalex-snapshot
Deteksi Langkah Kaki Berdasarkan Total Akselerasi dan Sudut Kemiringan Menggunakan Sensor Accelerometer pada Smartphone
inferred← citeshttps://doi.org/10.36227/techrxiv.13636013openalex-snapshot
HHARNet: Taking inspiration from Inception and Dense Networks for Human Activity Recognition using Inertial Sensors
inferred← citeshttps://doi.org/10.36227/techrxiv.13636013.v1openalex-snapshot
HHARNet: Taking inspiration from Inception and Dense Networks for Human Activity Recognition using Inertial Sensors
inferred← citeshttps://doi.org/10.48550/arxiv.1910.03970openalex-snapshot
A systematic review of smartphone-based human activity recognition for health research
inferred← citeshttps://doi.org/10.48550/arxiv.2111.05333openalex-snapshot
Classifying Human Activities with Inertial Sensors: A Machine Learning Approach
inferred← citeshttps://doi.org/10.5220/0007271903420351openalex-snapshot
Physical Activity Recognition by Utilising Smartphone Sensor Signals
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