Hand motion quantification using non-contact capacitive sensors
| Main Authors: | Oliveira, Fábio Henrique M, Machado, Alessandro R P, Andrade, Adriano O |
|---|---|
| Format: | Proceeding poster |
| Bahasa: | eng |
| Terbitan: |
, 2019
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/3569511 |
Daftar Isi:
- Analysis of human motion has great importance for the diagnosis and treatment of motor disorders. Nowadays, several studies in this area use inertial sensors to better understand the behavior caused by motor disorders. As the evaluation performed by clinicians is subjective and susceptible to human errors it is necessary an objective way to measure movements.This paper presents a system composed of Electric Potential Sensors that are able to monitor human movements. The system was evaluated by positioning the hand in the sensor area. A laser pointer was fixed at the middle finger to assist the task execution. Four tasks were employed in order to evaluate the sensor. For differentiation between tasks, a set of features were estimated from filtered signals and then projected onto a 2D space by means of the Sammon's mapping technique. The results showed the different grouping of tasks, demonstrating, thus, the ability to objectively detect and group different movements by the use of a technique, which is entirely passive, through sensing changes in the electric field. This experiment confirms that some movements of the hand can be determined from analysis of the signals detected from the non-contact sensors.