Masrullizam Mat Ibrahim

Eye-state analysis using an interdependence and adaptive scale mean shift (IASMS) algorithm

Eye state analysis in real-time is a main input source for Fatigue Detection Systems and Human Computer Interaction applications. This paper presents a novel eye state analysis design aimed for human fatigue evaluation systems. The design is based on an interdependence and adaptive scale mean shift (IASMS) algorithm. IASMS uses moment features to track and estimate the iris area in order to quantify the state of the eye. The proposed system is shown to substantially improve non-rigid eye tracking performance, robustness and reliability. For evaluating the design performance an established eye blink database for blink frequency analysis was used. The design performance was further assessed using the newly formed Strathclyde Facial Fatigue (SFF) video footage database1 of controlled sleep-deprived volunteers.

Mouth covered detection for yawn

Yawn is one of the common fatigue sign phenomena. The common technique to detect yawn is based upon the measurement of mouth opening. However, the spontaneous human action to cover the mouth during yawn can prevent such measurements. This paper presents a new technique to detect the covered mouth by employing the Local Binary Pattern (LBP) features. Subsequently, the facial distortions during the yawn process are identified by measuring the changes of wrinkles using Sobel edges detector. In this research the Strathclyde Facial Fatigue (SFF) database that contains genuine fatigue signs is used for training, testing and evaluation of the developed algorithms. This database was created from sleep deprivation experiments that involved twenty participants.

Co-operative surveillance cameras for high quality face acquisition in a real-time door monitoring system

The increasing number of CCTV cameras in use poses a problem of information overloading for end users. Smart technologies are used in video surveillance to automatically analyze and detect events of interest in real-time, through 2D and 3D video processing techniques called video analytics. This paper presents a smart surveillance stereo vision system for real-time intelligent door access monitoring. The system uses two IP cameras in a stereo configuration and a pan-tilt-zoom (PTZ) camera, to obtain real-time localised, high quality images of any triggering events.

Yawn analysis with mouth occlusion detection

Abstract One of the most common signs of tiredness or fatigue is yawning. Naturally, identification of fatigued individuals would be helped if yawning is detected. Existing techniques for yawn detection are centred on measuring the mouth opening. This approach, however, may fail if the mouth is occluded by the hand, as it is frequently the case. The work presented in this paper focuses on a technique to detect yawning whilst also allowing for cases of occlusion. For measuring the mouth opening, a new technique which applies adaptive colour region is introduced. For detecting yawning whilst the mouth is occluded, local binary pattern (LBP) features are used to also identify facial distortions during yawning. In this research, the Strathclyde Facial Fatigue (SFF) database which contains genuine video footage of fatigued individuals is used for training, testing and evaluation of the system.

A survey of fault-tolerant processor based on error correction code

Fault detection and correction algorithms has been widely adopted in the various data communication system with view to protect the system from crashing due to hard and soft errors. As the system becomes more complex with the reduction of transistor size, fault detection and correction schemes are not limited to data transfer process. Internal components of the systems processor are also susceptible to soft errors that potentially would halt the system operation. This paper is focused on the current implementation of error correction code (ECC) on internal processor architecture. Various ECC algorithms are discussed from theory to its operation. Several researches that implemented ECC in processor architecture are also presented in order to demonstrate the variety of ECC execution to the processor architecture. A custom soft-core processor called UTEMRISC is presented as a study case to execute an ECC algorithm in low-end soft-core processor architecture on FPGA platform. For future work, the FT design will be embedded in UTeMRISC03 processor with further analysis of the fault assessment on each of the processors components.