Machine Learning Model for Indoor Localization Algorithm using GPS and Smart Watch

Lee, Ho Chul; Lee, Dong Myung

doi:10.1109/icaiic48513.2020.9065245

Cited by 3 publications

(1 citation statement)

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“…Wearable devices that utilize accelerometers to detect position and movement have been applied in fields such as sports training and physical therapy [ 1 , 19 , 20 , 21 ]. Furthermore, accelerometers have been applied to inertial navigation systems to monitor the position, direction, and speed of moving objects to detect human movement and track the position of individuals indoors [ 22 , 23 , 24 , 25 ].…”

Section: Introductionmentioning

confidence: 99%

Wearable Sensor for Forearm Motion Detection Using a Carbon-Based Conductive Layer-Polymer Composite Film

Park¹

2022

Sensors

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In this study, we developed a fabrication method for a bracelet-type wearable sensor to detect four motions of the forearm by using a carbon-based conductive layer-polymer composite film. The integral material used for the composite film is a polyethylene terephthalate polymer film with a conductive layer composed of a carbon paste. It is capable of detecting the resistance variations corresponding to the flexion changes of the surface of the body due to muscle contraction and relaxation. To effectively detect the surface resistance variations of the film, a small sensor module composed of mechanical parts mounted on the film was designed and fabricated. A subject wore the bracelet sensor, consisting of three such sensor modules, on their forearm. The surface resistance of the film varied corresponding to the flexion change of the contact area between the forearm and the sensor modules. The surface resistance variations of the film were converted to voltage signals and used for motion detection. The results demonstrate that the thin bracelet-type wearable sensor, which is comfortable to wear and easily applicable, successfully detected each motion with high accuracy.

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