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Spanish researcher Esther Rituerto has been recognized for her innovative work in using artificial intelligence to detect sexist violence. Her research uses speech and acoustic signals to identify dangerous situations for women, with the goal of preventing attacks and combating sexist abuse.

The Government Delegation against Gender Violence in Spain has praised Rituerto’s approach, acknowledging her use of technology to understand women’s reactions to risk or danger and develop automatic mechanisms for detecting these situations based on sound cues.

Rituerto’s work is part of the UC3M4Safety project at the Carlos III University of Madrid, which aims to use technology to prevent, detect, and protect victims of gender violence. She and her team have developed electronic devices that can detect fear in victims through their voice and vital signs, triggering alerts to emergency services and law enforcement.

In addition to her work with speech and acoustic signals, Rituerto has also conducted research on using artificial intelligence to detect signs of gender violence in a woman’s voice. By analyzing voice patterns and characteristics, the technology can determine if a woman has been a victim of abuse with 73% accuracy.

Rituerto’s ongoing research focuses on using artificial intelligence to detect mental illnesses in brain images. Her work is paving the way for innovative technologies that can help protect victims of gender violence and improve detection and prevention methods in the future.

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