Sensoring the Neck: Classifying Movements and Actions with a Neck-Mounted Wearable Device

Sensoring the Neck: Classifying Movements and Actions with a Neck-Mounted Wearable Device

Sensor technology that captures information from a user’s neck region can enable a range of new possibilities, including less intrusive mobile software interfaces. In this work, we investigate the feasibility of using a single inexpensive flex sensor mounted at the neck to capture information about...

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Bibliographic Details
Main Authors: Jonathan Lacanlale, Paruyr Isayan, Katya Mkrtchyan, Ani Nahapetian
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Sensors
Subjects:
wearable computing
interaction design
neck-mounted interface
flex sensor
machine learning (ML)
Online Access:https://www.mdpi.com/1424-8220/22/12/4313

Internet

https://www.mdpi.com/1424-8220/22/12/4313

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