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

  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},
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

Ambulatory monitoring of human posture and walking speed using wearable accelerometer sensors

A new classification system for real-time monitoring of physical activity, which is able to detect body postures and walking speed with data acquired from three wearable biaxial accelerometer sensors deployed in a wireless body sensor network is described.

A Real-Time and Self-Calibrating Algorithm Based on Triaxial Accelerometer Signals for the Detection of Human Posture and Activity

An algorithm for human posture and activity-level detection, based on the real-time processing of the signals produced by one wearable triaxial accelerometer, which associates to its outputs a “reliability” value, representing the classification quality, in order to launch reliable alarms only when effective dangerous conditions are detected.

Development of a wearable motion detector for telemonitoring and real-time identification of physical activity.

  • Che-Chang YangYeh-Liang Hsu
  • Computer Science
    Telemedicine journal and e-health : the official journal of the American Telemedicine Association
  • 2009
An algorithm was developed to process real-time tri-axial acceleration signals produced by human movement to identify targeted still postures, postural transitions, and dynamic movements and high identification accuracy was obtained in performance evaluation.

Implementation of a real-time human movements classifier by using mobile equipment

  • S. NunnariF. Cannavò
  • Computer Science
    2013 Second International Conference on Informatics & Applications (ICIA)
  • 2013
This paper deals with implementation of a real-time system for classification of human movements based on the use of information recorded through an Android smartphone, namely acceleration and heart

Classification of Posture and Movement Using a 3-axis Accelerometer

The real-time monitoring about the activity of the human provides useful information about the activity quantity and ability. The present study implemented a small-size and low-power acceleration

Triaxial accelerometer-based real time fall event detection

An automatic fall detection system consisting of a triaxial accelerometer and a smartphone is evaluated, indicating an overall accuracy of 92% and response time of less than 6 seconds, which demonstrates excellent effectiveness.

Daily Motion Recognition System by a Triaxial Accelerometer Usable in Different Positions

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.

A real-time algorithm based on triaxial accelerometer for the detection of human activity state

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.



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.