Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring

@article{Karantonis2006ImplementationOA,
  title={Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring},
  author={Dean M. Karantonis and Michael R. Narayanan and M. Mathie and Nigel Hamilton Lovell and Branko George Celler},
  journal={IEEE Transactions on Information Technology in Biomedicine},
  year={2006},
  volume={10},
  pages={156-167}
}
The real-time monitoring of human movement can provide valuable information regarding an individual's degree of functional ability and general level of activity. [] Key Result Results demonstrate the feasibility of implementing an accelerometry-based, real-time movement classifier using embedded intelligence

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  • 2013
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A fast and accurate system design about recognition of daily human activities, including falls in the elderly, is proposed and it is suggested that this method can be used in home care and follow-up procedures and fall detection for elderly people.

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An automatic state-recognition system consisting of a Bluetooth module and a smart phone is developed and experiment result shows that the algorithm has achieved better performance on the smart phone with limited computing and storage capacity.

Developing a wearable system for real-time physical activity monitoring in a home environment

A home telehealth-based application, a wearable system for real-time human physical activity ambulatory monitoring by using only one mobile sensing device which utilizes tri-axial accelerometry measurement and the distributed data processing modality and is able to identify several targeted human postures, postural transitions and walking with the embedded algorithm.
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References

SHOWING 1-10 OF 22 REFERENCES

Classification of basic daily movements using a triaxial accelerometer

A generic framework for the automated classification of human movements using an accelerometry monitoring system is introduced and a classifier to identify basic movements from the signals obtained from a single, waist-mounted triaxial accelerometer is developed.

Computerized analysis of daily life motor activity for ambulatory monitoring.

  • K. KianiC. SnijdersE. Gelsema
  • Computer Science
    Technology and health care : official journal of the European Society for Engineering and Medicine
  • 1997
The method was successfully applied to long-term recorded data sets of eight male amputees and three other subjects and indicates that the method is a potentially useful too to computerize the off-line analysis system.

A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity

Preliminary evaluation of the system in 13 male subjects during standardized activities in the laboratory demonstrated a significant relationship between accelerometer output and energy expenditure due to physical activity, the standard reference for physical activity.

Development of an ambulatory physical activity and behavior map monitoring system

  • M. MakikawaD. Murakami
  • Computer Science
    Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
  • 1996
An ambulatory physical activity and behavior map monitoring system, which is a kind of portable microprocessor-based computer, using two piezoresistive-type accelerometers to measure a subject's posture change and physical activities, and a GPS sensor to get the subject's behavior map.

Ambulatory monitoring of physical activity in working situations, a validation study.

The reliability of the monitor in two working situations of one patient has been assessed: maintenance mechanic and messenger in a city hall and the overall (minimal) validity was found to be higher than 86%.

A pilot study of long-term monitoring of human movements in the home using accelerometry

The TA system was found to be practical for long-term, unsupervised home monitoring and all subjects found the system simple to use and the TA unit unobtrusive and comfortable to wear.

Detection of static and dynamic activities using uniaxial accelerometers.

Discrimination of dynamic activities on the basis of the combined evaluation of the mean signal value and signal morphology is proposed.

Physical activity monitoring based on accelerometry: validation and comparison with video observation

It is concluded that Physilog can be used in the clinical setting for the reliable measurement and long-term recording of most-usual physical activities.

Assessment of posture and motion by multichannel piezoresistive accelerometer recordings.

A method study was designed to evaluate the division in DC and AC components, reliabilities, discrimination between conditions, and detection of types of physical activities.

Motion pattern and posture: Correctly assessed by calibrated accelerometers

  • F. FoersterJ. Fahrenberg
  • Biology
    Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc
  • 2000
A refinement of this method appeared to be desirable to further increase its effectiveness, especially to distinguish walking and climbing stairs, and body rotation during sleep, as well as to distinguish subtypes of moving behaviors and posture.