A research team at Qatar University (QU) has developed an artificial intelligence (AI)-enabled device designed to detect distress and challenging behaviours in children with autism spectrum disorder (ASD). The device, named SafeSignals, leverages AI and machine learning technologies to analyse both physiological and environmental indicators of stress, providing caregivers with early alerts to support timely intervention.
The project is led by John-John Cabibihan, professor of mechanical engineering at QU, along with team members Ahmad Yaser Alhaddad, Ahmad Qadeib, Alban Malek Ayesh Abdulazizm Khalid al-Ali, Kishorn Kumar Sadasivuni, and Hussein Aly. SafeSignals was first revealed on World Autism Day earlier this year as part of Qatar’s ongoing efforts to enhance support for individuals on the autism spectrum.
SafeSignals consists of wearable biosensors and environmental sensors integrated to offer comprehensive monitoring of children’s physiological responses and surrounding conditions. The wearable component tracks indicators such as heart rate and perspiration levels, while environmental sensors monitor possible external stressors. By combining these inputs with machine learning algorithms, the system accurately identifies patterns associated with rising stress or sensory overload, which can precede behavioural meltdowns common among autistic children.
According to Cabibihan, the device aims to empower parents, teachers, and healthcare professionals by providing real-time notifications that enable early intervention before distress escalates. “Sometimes the first sign of distress is not a shout or a scream; it can be a signal under the skin,” he explained. The team has also incorporated social robots capable of responding to detected stress by gently re-engaging children, helping to calm them safely and quietly.
The SafeSignals system offers a scalable and reliable solution addressing limitations in current assistive technologies. Its multimodal monitoring approach and real-time alert capability enable caregivers to better understand and manage challenging behaviours, enhancing overall child safety and wellbeing. The device’s development reflects a broader research initiative at QU focused on advancing healthcare and assistive technologies through innovation.
The research team has secured a patent for SafeSignals and is pursuing opportunities for commercialisation. Plans include partnerships with healthcare providers, assistive technology companies, and investors to extend the device’s reach globally. With patent protection established, QU is positioning SafeSignals for licensing, co-development, and integration into healthcare systems worldwide.