Chapter 8 establishes the relationship between the input and output power spectral densities of a linear system. Limitations on results are carefully detailed and the case of oscillator noise is considered. The theory is extended to multiple input-multiple output systems.

Linear System Theory

Heart rate is an important indicator of people's physiological state Recently, several papers reported methods to measure heart rate remotely from face videos Those methods work well on stationary subjects under well controlled conditions, but their performance significantly degrades if the videos are recorded under more challenging conditions, specifically when subjects' motions and illumination variations are involved We propose a framework which utilizes face tracking and Normalized Least Mean Square adaptive filtering methods to counter their influences We test our framework on a large difficult and public database MAHNOB-HCI and demonstrate that our method substantially outperforms all previous methods We also use our method for long term heart rate monitoring in a game evaluation scenario and achieve promising results

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Remote Heart Rate Measurement from Face Videos under Realistic Situations

Although the off-road mobility characteristics of wheeled or tracked vehicles are generally recognized as being inferior to those of man and cursorial animals, the complexity of the joint-coordination control problem has thus far frustrated attempts to achieve improved vehicular terrain adaptability through the application of legged locomotion concepts. Nevertheless, the evident superiority of biological systems in this regard has motivated a number of theoretical studies over the past decade which have now reached a state of maturity sufficient to permit the construction of experimental computer-controlled adaptive walking machines. At least two such vehicles are known to have recently demonstrated legged locomotion over smooth hard-surfaced terrain. This paper is concerned with an extension of the present theory of limb coordination for such machines to the case in which the terrain includes regions not suitable for weight-bearing and which must consequently be avoided by the control computer in deciding when and where to successively place the feet of the vehicle. The paper includes a complete problem formalization, a heuristic algorithm for solution of the problem thus posed, and a preliminary evaluation of the proposed algorithm in terms of a computer simulation study.

Adaptive Locomition of a Multilegged Robot over Rough Terrain

Identification methods for Hammerstein nonlinear systems

Gradient based and least-squares based iterative identification methods for OE and OEMA systems

State-space recursive least squares: part II

State-space least mean square

This paper presents a low cost FPGA based solution for a real-time moving object tracking system. A specialized architecture is presented based on a soft RISC processor capable of running kernel based mean shift tracking algorithm. The system includes a frame grabber unit that stores the video frame in DDR RAM using direct memory access, a video display unit to monitor the tracking statistics and a soft processor capable of running mean shift tracking algorithm within the required time constraint.

FPGA/soft-processor based real-time object tracking system

This paper deals with different beamforming techniques for DOA estimation. High resolution techniques such as Multiple Signal Classification (MUSIC) and Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT) which are subspace based techniques are also discussed. Finally, further resolution improvement is achieved through the use of directional sensors. The computational complexities of beamforming techniques are also compared. Index Terms—Beamforming, computations, direction-of-arrival, multiple, radar, resolution.

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Mohammad Bilal Malik

Papers

State-space recursive least squares: part II

State-space least mean square

FPGA/soft-processor based real-time object tracking system

Comparison of Direction of Arrival (DOA) Estimation Techniques for Closely Spaced Targets

Hardware/software co-design of a real-time kernel based tracking system