Author(s): Vongas JG; Al Hajj R;

A contribution to a special issue on Hormones and Human Competition. We investigated the effects of competition on men's testosterone levels and assessed whether androgen reactivity was associated with subsequent emotion recognition and reactive and pro ...

Article GUID: 28455183

Author(s): Matthew P Unger

This article examines how images of nature, weather, and topography disclose a politics of recognition (who is visible/invisible) invested in a burgeoning criminal justice milieu, where punishment of wrongdoing became increasingly racialized in British Colu ...

Article GUID: 37885918

Author(s): Chen G; Krzyzak A;

In this paper, we propose a novel method for 2D pattern recognition by extracting features with the log-polar transform, the dual-tree complex wavelet transform (DTCWT), and the 2D fast Fourier transform (FFT2). Our new method is invariant to translation, r ...

Article GUID: 37112182

Author(s): Manouchehri N; Bouguila N;

Human activity recognition (HAR) has become an interesting topic in healthcare. This application is important in various domains, such as health monitoring, supporting elders, and disease diagnosis. Considering the increasing improvements in smart devices, ...

Article GUID: 36772428

Author(s): Rivera-Hernández IAE; Crane AL; Pollock MS; Ferrari MCO;

Chemical information has an important role in the sensory ecology of aquatic species. For aquatic prey, chemical cues are a vital source of information related to predator avoidance and risk assessment. For instance, alarm cues are released by prey that hav ...

Article GUID: 35099624

Author(s): Bourouis S; Pawar Y; Bouguila N;

Finite Gamma mixture models have proved to be flexible and can take prior information into account to improve generalization capability, which make them interesting for several machine learning and data mining applications. In this study, an efficient Gamma ...

Article GUID: 35009726

Author(s): Afzali Arani MS; Costa DE; Shihab E;

Inertial sensors are widely used in the field of human activity recognition (HAR), since this source of information is the most informative time series among non-visual datasets. HAR researchers are actively exploring other approaches and different sources ...

Article GUID: 34770303

Author(s): Sandrin E; Morin AJS; Fernet C; Gillet N;

This research relies on variable- and person-centered approaches to illustrate how each of these approaches may help to improve our understanding of the dimensionality of the burnout construct. Both studies (Study 1: N = 247 administrative and technical emp ...

Article GUID: 34314264

Author(s): Elshafei M, Costa DE, Shihab E

Nowadays, Human Activity Recognition (HAR) systems, which use wearables and smart systems, are a part of our daily life. Despite the abundance of literature in the area, little is known about the impact of muscle fatigue on these systems' performance. I ...

Article GUID: 33557239

Author(s): Elshafei M, Shihab E

Fatigue is a naturally occurring phenomenon during human activities, but it poses a bigger risk for injuries during physically demanding activities, such as gym activities and athletics. Several studies show that bicep muscle fatigue can lead to various inj ...

Article GUID: 33498702

Author(s): Khannouz M; Glatard T;

This paper evaluates data stream classifiers from the perspective of connected devices, focusing on the use case of Human Activity Recognition. We measure both the classification performance and resource consumption (runtime, memory, and power) of five usua ...

Article GUID: 33202905