Title
A Sociometric Sensor Based on Proximity, Movement and Verbal Interaction Detection
Date Issued
01 November 2019
Access level
metadata only access
Resource Type
conference paper
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
Abstract
This work proposes the development of a sociometric sensor capable of detecting proximity, movement and verbal interaction between people. The sensor will allow measuring the level of existing interrelations between the collaborators of an organization, in order to determine and to measure the organizational climate. The way to evaluate the current organizational climate is subjective, through surveys that are not accurate and that make the results are not adequate. The sensors developed until now focus on proximity or movement, but not on the 3 proposed variables: movement, proximity and speech. The proposed portable device consists of a proximity detector using RSSI (Received Signal Strength Indicator) based on the NodeMCU WIFI ESP 8266 module. It also has a motion detector that uses an accelerometer and finally a voice detection algorithm, acquired via microphone, aimed at determining verbal interaction between people. The validation of the equipment was done by measuring the 3 variables in a sample of 50 people. The results show a percentage of proximity detection of 90% up to a distance of 3 meters between individuals, a percentage of success of 92.5% in the detection of posture and physical activity and a percentage of success of 87.5% in the detection of verbal interaction between people.
Start page
216
End page
221
Language
English
OCDE Knowledge area
Ingeniería eléctrica, Ingeniería electrónica
Negocios, Administración
Subjects
Scopus EID
2-s2.0-85083449437
ISBN of the container
9781728155814
Conference
Proceedings - 2019 International Conference on Information Systems and Computer Science, INCISCOS 2019
Sources of information:
Directorio de Producción Científica
Scopus