DocumentCode :
678342
Title :
A wearable inertial sensing device for fall detection and motion tracking
Author :
Kumar, Pranaw ; Pandey, Prem Chandra
Author_Institution :
Dept. of Biosci. & Bioeng., IIT Bombay, Mumbai, India
fYear :
2013
fDate :
13-15 Dec. 2013
Firstpage :
1
Lastpage :
6
Abstract :
Fall is a major problem for the elderly persons and patients suffering from neuromuscular disorders. A body-worn fall detector can greatly help in providing timely assistance by alerting the emergency services and relatives in case of such an occurrence. A wearable inertial sensing device is developed for fall detection and motion tracking. It consists of an integrated sensor with tri-axial accelerometer and tri-axial gyroscope for sensing linear acceleration and angular velocity, a microcontroller for data acquisition and processing, nonvolatile memory for recording the sensed data, and Bluetooth for wireless connectivity. A fall detection algorithm applying multiple decompositions and thresholding on the acceleration data is implemented for real-time processing using sampling frequency of 100 Hz. The sensed data can be continuously recorded for approximately 10 hours at a sampling frequency of 20 Hz and therefore the device can also be used for actigraphy for diagnosis of sleep disorders. A number of such devices worn on the different parts of the body and wirelessly connected to a central device can be used for continuous tracking of the posture and movement and can serve as an aid for assisted living.
Keywords :
Bluetooth; accelerometers; assisted living; biomedical equipment; data acquisition; emergency services; geriatrics; gyroscopes; medical computing; medical disorders; microcontrollers; neurophysiology; patient diagnosis; random-access storage; sleep; Bluetooth; actigraphy; angular velocity; assisted living; body-worn fall detector; continuous tracking; data acquisition; data processing; elderly patients; elderly persons; emergency services; fall detection algorithm; frequency 100 Hz; frequency 20 Hz; integrated sensor; linear acceleration; microcontroller; motion tracking; neuromuscular disorders; nonvolatile memory; real-time processing; sensed data recording; sleep disorder diagnosis; triaxial accelerometer gyroscope; wearable inertial sensing device; wireless connectivity; Accelerometers; Bluetooth; Clocks; Gyroscopes; Microcontrollers; Sensors; Tracking; assisted living; fall detection; inertial sensing; motion tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
India Conference (INDICON), 2013 Annual IEEE
Conference_Location :
Mumbai
Print_ISBN :
978-1-4799-2274-1
Type :
conf
DOI :
10.1109/INDCON.2013.6725876
Filename :
6725876
Link To Document :
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