RT info:eu-repo/semantics/article
T1 A robot-based surveillance system for recognising distress hand signal
A1 Riego Del Castillo, Virginia
A1 Sánchez González, Lidia
A1 González Santamarta, Miguel Ángel
A1 Rodríguez Lera, Francisco Javier
A2 Arquitectura y Tecnologia de Computadores
K1 Ingenierías
K1 Computer Vision
K1 Social Robots
K1 Distress Hand Signal
K1 Cognitive Architecture
K1 3304.05 Sistemas de Reconocimiento de Caracteres
K1 6114.18 Comunicación Simbólica
AB [EN] Unfortunately, there are still cases of domestic violence or situations where it is necessary to call for help without arousing the suspicion of the aggressor. In these situations, the help signal devised by the Canadian Women's Foundation has proven to be effective in reporting a risky situation. By displaying a sequence of hand signals, it is possible to report that help is needed. This work presents a vision-based system that detects this sequence and implements it in a social robot, so that it can automatically identify unwanted situations and alert the authorities. The gesture recognition pipeline presented in this work is integrated into a cognitive architecture used to generate behaviours in robots. In this way, the robot interacts with humans and is able to detect if a person is calling for help. In that case, the robot will act accordingly without alerting the aggressor. The proposed vision system uses the MediaPipe library to detect people in an image and locate the hands, from which it extracts a set of hand landmarks that identify which gesture is being made. By analysing the sequence of detected gestures, it can identify whether a person is performing the distress hand signal with an accuracy of 96.43%.
PB Oxford University Press
SN 1367-0751
LK https://hdl.handle.net/10612/20546
UL https://hdl.handle.net/10612/20546
NO Riego del Castillo,V., Sánchez-González, L. González-Santamarta, M.Á, and Rodríguez Lera, F.J. (en prensa). A robot-based surveillance system for recognising distress hand signal. Logic Journal Of The Igpl
DS BULERIA. Repositorio Institucional de la Universidad de León
RD Jul 12, 2024