Toward physical activity diary: motion recognition using simple acceleration features with mobile phones

Authors:
Jun Yang
Affiliations:
Nokia Research Center, Palo Alto, CA, USA
Venue:
IMCE '09 Proceedings of the 1st international workshop on Interactive multimedia for consumer electronics
Year:
2009

Citing 10
Cited 18

Wearable Sensing to Annotate Meeting Recordings

ISWC '02 Proceedings of the 6th IEEE International Symposium on Wearable Computers
Using Gravity to Estimate Accelerometer Orientation

ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
Micro-Blog: sharing and querying content through mobile phones and social participation

Proceedings of the 6th international conference on Mobile systems, applications, and services
Activity-Aware Computing for Healthcare

IEEE Pervasive Computing
Dealing with sensor displacement in motion-based onbody activity recognition systems

UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
Sensing meets mobile social networks: the design, implementation and evaluation of the CenceMe application

Proceedings of the 6th ACM conference on Embedded network sensor systems
Activity recognition from accelerometer data

IAAI'05 Proceedings of the 17th conference on Innovative applications of artificial intelligence - Volume 3
A hybrid discriminative/generative approach for modeling human activities

IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
A practical approach to recognizing physical activities

PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
Where am i: recognizing on-body positions of wearable sensors

LoCA'05 Proceedings of the First international conference on Location- and Context-Awareness

Green multimedia: informing people of their carbon footprint through two simple sensors

Proceedings of the international conference on Multimedia
Activity recognition on an accelerometer embedded mobile phone with varying positions and orientations

UIC'10 Proceedings of the 7th international conference on Ubiquitous intelligence and computing
A hybrid content delivery approach for a mixed reality web service platform

UIC'10 Proceedings of the 7th international conference on Ubiquitous intelligence and computing
Activity recognition using cell phone accelerometers

ACM SIGKDD Explorations Newsletter
Design considerations for the WISDM smart phone-based sensor mining architecture

Proceedings of the Fifth International Workshop on Knowledge Discovery from Sensor Data
Physical activity monitoring with mobile phones

ICOST'11 Proceedings of the 9th international conference on Toward useful services for elderly and people with disabilities: smart homes and health telematics
Prioritizing data in emergency response based on context, message content and role

Proceedings of the 1st International Conference on Wireless Technologies for Humanitarian Relief
Online pose classification and walking speed estimation using handheld devices

Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Towards a semi-automatic personal digital diary: detecting daily activities from smartphone sensors

Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments
Real-time gait classification for persuasive smartphone apps: structuring the literature and pushing the limits

Proceedings of the 2013 international conference on Intelligent user interfaces
Activity logging using lightweight classification techniques in mobile devices

Personal and Ubiquitous Computing
A survey on smartphone-based systems for opportunistic user context recognition

ACM Computing Surveys (CSUR)
User, device and orientation independent human activity recognition on mobile phones: challenges and a proposal

Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
Sensor requirements for activity recognition on smart watches

Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments
GaitTrack: Health Monitoring of Body Motion from Spatio-Temporal Parameters of Simple Smart Phones

Proceedings of the International Conference on Bioinformatics, Computational Biology and Biomedical Informatics
Accelerometer-based transportation mode detection on smartphones

Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems
Activity recognition with android phone using mixture-of-experts co-trained with labeled and unlabeled data

Neurocomputing
Physical activity recognition using a single triaxial accelerometer and a barometric sensor for baby and child care in a home environment

Journal of Ambient Intelligence and Smart Environments

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we perform physical motion recognition using mobile phones with built-in accelerometer sensors. Sensor data processing and smoothing techniques are discussed first to reduce the special noise present in phone-collected accelerometer data. We explore orientation-independent features extracted from vertical and horizonal components in acceleration as well as magnitudes of acceleration for six common physical activities, such as sitting, standing, walking, running, driving and bicycling. We find decision tree achieves the best performance among four commonly used static classifiers, while vertical and horizonal features have better recognition accuracy than magnitude features. Furthermore, a well-pruned decision tree with simple time domain features and less over-fitting on the training data can provide a usable model for inferencing a physical activity diary, refined by a similarity match from K-means clustering results and smoothed by an HMM-based Viterbi algorithm.