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We present a framework for robust face detection and landmark localisation of faces in the wild, which has been evaluated as part of `the 2nd Facial Landmark Localisation Competition'. The framework has four stages: face detection, bounding box aggregation, pose estimation and landmark localisation. To achieve a high detection rate, we use two publicly available CNN-based face detectors and two proprietary...
Classification of EEG under wearable environment faces many challenges including motion artifact, electrode DC offset, noise and limited available energy source. This paper describes the design consideration of a multi-channel machine-learning based EEG classification and recording processors for wearable form-factor sensors. The goal is to optimize the detection performance while balancing the analog...
Vehicular ad hoc network facilitates cooperative awareness applications by periodically sharing basic safety messages (BSMs) with the neighborhood vehicles. As these applications impact human safety, authenticity of BSMs is a key requirement, which however is a challenging task in a dense traffic density where many BSMs are queued up simultaneously for signature verification. As a result, many important...
Multichannel EEG seizure detection SoCs are widely used in medical practice and in research [1]-[3]. Due to huge variation in seizure patterns, patient-specific seizure detection is very crucial. [1], [2] presents 8-channel (ch) SoCs with moderate latency (∼2s) but without seizure termination detection and stimulation. [3] implements a closed-loop SoC but is not patient-specific, and moreover, is...
This paper describes a hyperspectral image classification method to obtain classification maps at a finer resolution than the image's original resolution. We assume that a complementary color image of high spatial resolution is available. The proposed methodology consists of a soft classification procedure to obtain landcover fractions, followed by a subpixel mapping of these fractions. While the...
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