Activity Recognition from User-Annotated Acceleration Data

Abstract

In this work, algorithms are developed and evaluated to detect physical activities from data acquired using five small biaxial accelerometers worn simultaneously on different parts of the body. Acceleration data was collected from 20 subjects without researcher supervision or observation. Subjects were asked to perform a sequence of everyday tasks but not… (More)

DOI: 10.1007/978-3-540-24646-6_1

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Unsupervised, Dynamic Identification of Physiological and Activity Context in Wearable Computing

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Activity Recognition from User-Annotated Acceleration Data

Abstract

Topics

8 Figures and Tables

Statistics

3,064 Citations

Cited By

Individual classification of elementary school children's physical activity: A time-efficient, group-based approach to reference measurements.

Supervised and Unsupervised Transfer Learning for Activity Recognition from Simple In-home Sensors

Recognizing Human Activities from Raw Accelerometer Data Using Deep Neural Networks

Ubiquitous Computing and Ambient Intelligence. Sensing, Processing, and Using Environmental Information

Feature Selection and Activity Recognition System Using a Single Triaxial Accelerometer

Device-free and device-bound activity recognition using radio signal strength

Hierarchical, Multi-Sensor Based Classification of Daily Life Activities: Comparison with State-of-the-Art Algorithms Using a Benchmark Dataset

Physical activity and affect in elementary school children's daily lives

KNOWME: An Energy-Efficient Multimodal Body Area Network for Physical Activity Monitoring

A language of tactile motion instructions for physical activities

References

Detection of posture and motion by accelerometry: a validation in ambulatory monitoring

Multi-sensor Activity Context Detection for Wearable Computing

Physical Activity Recognition from Acceleration Data under SemiNaturalistic Conditions

Acquiring in situ training data for context-aware ubiquitous computing applications

Unsupervised, Dynamic Identification of Physiological and Activity Context in Wearable Computing

Activity and Location Recognition Using Wearable Sensors

Hierarchical Recognition of Intentional Human Gestures for Sports Video Annotation

Hoarder Board Specifications

Life Patterns: structure from wearable sensors

Multi-Sensor Context Aware Clothing

Slides referencing similar topics

Activity Recognition from User-Annotated Acceleration Data

Abstract

Topics

8 Figures and Tables

Statistics

3,064 Citations

Cited By

Individual classification of elementary school children's physical activity: A time-efficient, group-based approach to reference measurements.

Supervised and Unsupervised Transfer Learning for Activity Recognition from Simple In-home Sensors

Recognizing Human Activities from Raw Accelerometer Data Using Deep Neural Networks

Ubiquitous Computing and Ambient Intelligence. Sensing, Processing, and Using Environmental Information

Feature Selection and Activity Recognition System Using a Single Triaxial Accelerometer

Device-free and device-bound activity recognition using radio signal strength

Hierarchical, Multi-Sensor Based Classification of Daily Life Activities: Comparison with State-of-the-Art Algorithms Using a Benchmark Dataset

Physical activity and affect in elementary school children's daily lives

KNOWME: An Energy-Efficient Multimodal Body Area Network for Physical Activity Monitoring

A language of tactile motion instructions for physical activities

References

Detection of posture and motion by accelerometry: a validation in ambulatory monitoring

Multi-sensor Activity Context Detection for Wearable Computing

Physical Activity Recognition from Acceleration Data under SemiNaturalistic Conditions

Acquiring in situ training data for context-aware ubiquitous computing applications

Unsupervised, Dynamic Identification of Physiological and Activity Context in Wearable Computing

Activity and Location Recognition Using Wearable Sensors

Hierarchical Recognition of Intentional Human Gestures for Sports Video Annotation

Hoarder Board Specifications

Life Patterns: structure from wearable sensors

Multi-Sensor Context Aware Clothing

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