Qatar University

Ahmad Yaser Alhaddad

John-John Cabibihan

Kishor Kumar Sadasivuni

Abdulaziz Khalid Al-ali

Ahmad Qadeib Alban

Malek Ayesh

Hussein Aly

A method may include establishing a connection with a wearable device and at least one sensory module device disposed within an environment. The method may also include receiving, from the at least one sensory module device, a recording of an auditory input from a subject and physical movement of the subject in the environment. The method may further include receiving, from the wearable device, at least one physiological signal of the subject. In addition, the method may include detecting, via machine learning, presence of a challenging behavior of the subject based on the received record of the auditory input, the physical movement, and the at least one physiological signal of the subject. Further, the method may include transmitting a notification of the detected challenging behavior to an external device.

Device for detecting challenging behaviors in people with autism

A method may include measuring, photoplethysmography (PPG) data and capacitance data of an object. The method may also include, with the PPG data and the capacitance data, detecting, by a microprocessor, positive peaks of the data by comparing successive measurements. The method may further include finding, by the microprocessor, a maximum peak value of the detected positive peaks, and generating, by the microprocessor, a threshold value based on detected positive peaks. If the maximum peak value is greater than the threshold value, analyze, by the microprocessor, a fingerprint of the object. The method may also include determining, by the microprocessor, based on the PPG data, the capacitance data and the fingerprint of the object, at least one of if the object is authorized or unauthorized, and if the object is a human being or not a human being.

Biometric liveness detection through biocompatible capacitive sensor

Growing community of inventors

Doha, Qatar

Ahmad Yaser Alhaddad