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Biometric systems have gained tremendous ground over the past years formulating an advancing market and a wide range of challenging technological research fields. Among the main drivers of this context are the promising capabilities of biometric systems for identification and identity verification purposes through a multitude of means (such as iris...
Citations
... In this research the authors used, after signing the relevant user agreement that gave them the right to reproduce parts of the dataset with the relevant copyright notice, the Cohn-Kanade extended dataset of facial expressions [42,43] The methodology followed, based on the fact of complete emotion expression universality aimed at providing an algorithm that needs no individual training of specific users (although training can be used in a future implementation to further improve acquired results). Also the proposed methodology aims at being easily incorporated into a SoA based telemedicine system, based on reconfigurable rules [30], or as part of a multi-algorithmic pool in a biometrics system as the one proposed in [44]. ...
... Finally, the proposed methodology is ready to be incorporated into a metadata-aware biometric architecture as the one proposed in [44] specifically targeted in ambient assisted living systems. Future improved implementations of the methodology aim to encompass real time capabilities, especially based on Constrained Local Models [59][60] and deep learning networks for better hierarchical multimodal classification of the subject's emotional status [61][62][63]. ...
Behavioral biometrics aim at providing algorithms for the automatic recognition of individual behavioral traits, stemming from a person’s actions, attitude, expressions and conduct. In the field of ambient assisted living, behavioral biometrics find an important niche. Individuals suffering from the early stages of neurodegenerative diseases (MCI, Alzheimer’s, dementia) need supervision in their daily activities. In this context, an unobtrusive system to monitor subjects and alert formal and informal carers providing information on both physical and emotional status is of great importance and positively affects multiple stakeholders. The primary aim of this paper is to describe a methodology for recognizing the emotional status of a subject using facial expressions and to identify its uses, in conjunction with pre-existing risk-assessment methodologies, for its integration into the context of a smart monitoring system for subjects suffering from neurodegenerative diseases. Paul Ekman’s research provided the background on the universality of facial expressions as indicators of underlying emotions. The methodology then makes use of computational geometry, image processing and graph theory algorithms for the detection of regions of interest and then a neural network is used for the final classification. Findings are coupled with previous published work for risk assessment and alert generation in the context of an ambient assisted living environment based on Service oriented architecture principles, aimed at remote web-based estimation of the cognitive and physical status of MCI and dementia patients.
... In this research the authors used, after signing the relevant user agreement that gave them the right to reproduce parts of the dataset with the relevant copyright notice, the Cohn-Kanade extended dataset of facial expressions [42,43] The methodology followed, based on the fact of complete emotion expression universality aimed at providing an algorithm that needs no individual training of specific users (although training can be used in a future implementation to further improve acquired results). Also the proposed methodology aims at being easily incorporated into a SoA based telemedicine system, based on reconfigurable rules [30], or as part of a multi-algorithmic pool in a biometrics system as the one proposed in [44]. ...
... Finally, the proposed methodology is ready to be incorporated into a metadata-aware biometric architecture as the one proposed in [44] specifically targeted in ambient assisted living systems. Future improved implementations of the methodology aim to encompass real time capabilities, especially based on Constrained Local Models [59][60] and deep learning networks for better hierarchical multimodal classification of the subject's emotional status [61][62][63]. ...
Behavioral biometrics aim at providing algorithms for the automatic recognition of individual behavioral traits, stemming from a person’s actions, attitude, expressions and conduct. In the field of ambient assisted living, behavioral biometrics find an important niche. Individuals suffering from the early stages of neurodegenerative diseases (MCI, Alzheimer’s, dementia) need supervision in their daily activities. In this context, an unobtrusive system to monitor subjects and alert formal and informal carers providing information on both physical and emotional status is of great importance and positively affects multiple stakeholders. The primary aim of this paper is to describe a methodology for recognizing the emotional status of a subject using facial expressions and to identify its uses, in conjunction with pre-existing risk-assessment methodologies, for its integration into the context of a smart monitoring system for subjects suffering from neurodegenerative diseases. Paul Ekman’s research provided the background on the universality of facial expressions as indicators of underlying emotions. The methodology then makes use of computational geometry, image processing and graph theory algorithms for the detection of regions of interest and then a neural network is used for the final classification. Findings are coupled with previous published work for risk assessment and alert generation in the context of an ambient assisted living environment based on Service oriented architecture principles, aimed at remote web-based estimation of the cognitive and physical status of MCI and dementia patients.
... Biometrics is one of the fast growing fields that are applied in forensics and investigations [6]. This field concentrates on the identification of individuals based on their biological traits [14], [15]. There are different types of Biometrics that include Fingerprint, Hand scan, Signature, Iris, Retina, Voice and Face [16]. ...
The business processes in the security wings of most developing countries are not automated. This results in loss of documentation, difficulties in looking up documents and tedious reporting. In this study, a baseline study was carried out to ascertain the levels of formal education, Information and Communications Technology (ICT) skills and ICT tools utilization within the Zambia Police Service. Results showed that 47% have graduated from college, 32% completed high school and 21% had attained graduate or postgraduate degrees. In addition, 24% had received basic computer training. The survey also revealed that 39% of the respondents use their personal email for work related communications. The study also aimed at establishing the major business processes. Using the business process results from the baseline study, a model was developed. The model was used to develop a web-based prototype by integrating fingerprint biometrics. Captured fingerprint images were pre-processed using wavelet scalar quantization (WSQ) algorithm, the minutiae were extracted and a template generated using Delaunay algorithm. The developed system showed improved business process through automation.
... Biometrics is one of the fast growing fields that are applied in forensics and investigations [6]. This field concentrates on the identification of individuals based on their biological traits [14], [15]. There are different types of Biometrics that include Fingerprint, Hand scan, Signature, Iris, Retina, Voice and Face [16]. ...
A lot of developing countries don’t have business process automation systemsfor security institutions. In
this paper, we present a system designed for Zambia Police to automate their paper intensive processes. Beyond the automation process, some reports will be implemented for theirreporting needs. A baseline study was done to ascertain the levels of Information and Communications Technology (ICT) skills, security awareness and ICT tools utilization within Zambia Police Service. Results showed that 24% had received basic computer training, 39% use their personal email accounts for work communications and 36% use their personal devices to store work-related documents. The study also aimed to establish major business processes and identify the major security risks in the current workflows. A model was developed using the business process results. A web-based prototype that integrates fingerprint biometrics was developed using the model. The developed system showed improved business process through automation.
