Qatar University

Qatar Foundation for Education, Science and Community Development

Kishor Kumar Sadasivuni

John-John Cabibihan

Ahmad Yaser Alhaddad

Abdulla Al-Ansari

Nikhil Vishwas Navkar

Julien Abinahed

Ahmed Yaser Alhaddad

Anas Tahir

Malek Ayesh

Abdulaziz Khalid Al-ali

Hussein Aly

Hifza Javed

Ahmad Qadeib Alban

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 tactile sensor, a surgical instrument, and a method of making the tactile sensor are provided. In one embodiment, a tactile sensor includes a first electrode, a second electrode, and an intermediate layer between the first electrode and the second electrode. The intermediate layer includes a polyurethane-zinc oxide nanocomposite. Further, one or both of the first and second electrodes may include a silver conductive paste.

Tactile sensor, a surgical instrument having the same, and a method of manufacturing the same

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

Certain embodiments may generally relate to smart robotic therapeutic devices. A modular toy may include a multiple detachable carriages. The modular toy may also include a liquid crystal display (LCD) screen mounted on a first carriage of the plurality of carriages. The modular toy may further include a bubble-generation mechanism installed on the first carriage, a container disposed on a second carriage of the plurality of carriages that is attached to the first carriage, and a robotic arm mounted on a third carriage of the plurality of carriages that is attached to the second carriage.

Smart robotic therapeutic learning toy

Growing community of inventors

Doha, Qatar

Kishor Kumar Sadasivuni