Nour Eddin Tabbakha
Multimedia University
Motion (physics)Support vector machineMQTTWearable computerTracking systemData loggerRandom forestIndoor positioning systemSoftwareBedroomNumPyContext (language use)Motion detectionPopulationComputer visionComputer scienceAnalyticsReal-time computingAccelerometerMatch moving
4Publications
1H-index
9Citations
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#1Nour Eddin Tabbakha (MMU: Multimedia University)H-Index: 1
#2Chee-Pun Ooi (MMU: Multimedia University)H-Index: 5
Last. Yi-Fei Tan (MMU: Multimedia University)H-Index: 5
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#1Nour Eddin Tabbakha (MMU: Multimedia University)H-Index: 1
#2Wooi-Haw Tan (MMU: Multimedia University)H-Index: 8
Last. Chee-Pun Ooi (MMU: Multimedia University)H-Index: 5
view all 3 authors...
The elderly population is experiencing high growth in most countries. In Malaysia, a majority of the households are dual-earner families, leaving their elderly parents at home. Without caretakers to look after them, aging parents may be susceptible to accidents. Therefore, an elderly action recognition system which can automatically identify their actions and whereabouts at home is needed. In this paper, the development and testing of a wearable device with motion detection and indoor positionin...
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Nov 1, 2017 in ICRA (International Conference on Robotics and Automation)
#1Nour Eddin Tabbakha (MMU: Multimedia University)H-Index: 1
#2Wooi-Haw Tan (MMU: Multimedia University)H-Index: 8
Last. Chee-Pun Ooi (MMU: Multimedia University)H-Index: 5
view all 3 authors...
This paper presents an indoor positioning system (IPS) and motion tracking system for the elderly, who are staying alone. The system is able to track the elderly location based on the room that they are currently situated and recognizes whether the elderly is moving or sitting. A smart wearable device featuring MPU6050 motion sensor, BLE beacon and Raspberry Pi Zero W is developed. The sensory data from MPU6050 will be analyzed to study the type of motion and publish to MQTT server. For location...
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