Activity Recognition and Monitoring Using Multiple Sensors on Different Body Positions

Cited by (266)

Items 101–200 of 266

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3. Talk, Text, Tag? Understanding Self-Annotation of Smart Home Data from a User’s Perspective
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5. Future Outdoor Safety Monitoring: Integrating Human Activity Recognition with the Internet of Physical–Virtual Things
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6. Recognition of Typical Locomotion Activities Based on the Sensor Data of a Smartphone in Pocket or Hand
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9. Application of Feature-Learning Methods Toward Product Usage Context Identification and Comfort Prediction
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12. HMM Adaptation for Improving a Human Activity Recognition System
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13. A novel method for detecting and predicting resident's behavior in smart home
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14. Sensor-Based Activity Recognition via Learning From Distributions
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16. Activity Recognition Based on a Multi-sensor Meta-classifier
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17. Scheduling Sensor Duty Cycling Based on Event Detection Using Bi-Directional Long Short-Term Memory and Reinforcement Learning
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18. Human Action Recognition from Various Data Modalities: A Review
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19. AI-Based Quantification of Fitness Activities Using Smartphones
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20. Human Lower Limb Motion Capture and Recognition Based on Smartphones
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21. A Semantic Framework to Detect Problems in Activities of Daily Living Monitored through Smart Home Sensors
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22. aHead: Considering the Head Position in a Multi-sensory Setup of Wearables to Recognize Everyday Activities with Intelligent Sensor Fusions
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23. Temporal features and relations discovery of activities from sensor data
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27. Discovering varying patterns of Normal and interleaved ADLs in smart homes
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30. Enabling Self-Reflection with LifelogExplorer: Generating Simple Views from Complex Data
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32. Hybrid Learning Models for IMU-Based HAR with Feature Analysis and Data Correction
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33. A novel smartphone-based activity recognition modeling method for tracked equipment in forest operations
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34. Optimal Recognition Method of Human Activities Using Artificial Neural Networks
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35. Feature Engineering for Activity Recognition from Wrist-worn Motion Sensors
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37. Estimation of Fine-Grained Foot Strike Patterns with Wearable Smartwatch Devices
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38. An Activity Recognition System for Ambient Assisted Living Environments
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40. Human Activity Recognition Based on Deep Learning Regardless of Sensor Orientation
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41. Classifying Wheelchair Propulsion Patterns with a Wrist Mounted Accelerometer
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42. Use of Local Intelligence to Reduce Energy Consumption of Wireless Sensor Nodes in Elderly Health Monitoring Systems
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43. A Localized Learning Approach Applied to Human Activity Recognition
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44. Recognition rate difference between real-time and offline human activity recognition
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45. ERAR: An Event-Driven Approach for Real-Time Activity Recognition
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46. Human continuous activity recognition based on energy-efficient schemes considering cloud security technology
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47. Human Activity Recognition Using Smartphone Sensors: A Dense Neural Network Approach
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48. A Survey Investigating the Combination and Number of IMUs on the Human Body Used for Detecting Activities and Human Tracking
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49. Sensor-based activity recognition via learning from distributions
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50. Sensor - Based Human Activity Recognition Using Smartphones
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51. Measurement of Functional Use in Upper Extremity Prosthetic Devices Using Wearable Sensors and Machine Learning
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52. SELFBACK—Activity Recognition for Self-management of Low Back Pain
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53. Wrist movement detection for prosthesis control using surface EMG and triaxial accelerometer
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54. Realtime Tracking of Passengers on the London Underground Transport by Matching Smartphone Accelerometer Footprints
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55. Real-time motion onset recognition for robot-assisted gait rehabilitation
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56. Generalized Alignment for Multimodal Physiological Signal Learning
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57. A Cyclic Attribution Technique Feature Selection Method for Human Activity Recognition
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58. Using context from inside‐out vision for improved activity recognition
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64. Subject Independent Human Activity Recognition with Foot IMU Data
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65. Statistical and Time Series Analysis of Accelerometer Signals for Human Activity Recognition
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