Y Chen, W Dong, Y Gao, X Liu, T Gu - … of the ACM on Interactive, Mobile …, 2017 - dl.acm.org
Device-free human sensing is a key technology to support many applications such as indoor navigation and activity recognition. By exploiting WiFi signals reflected by human body …
J Yang, Y Shi, J Yang - Computers in Human Behavior, 2011 - Elsevier
Finger-vein recognition refers to a recent biometric technique which exploits the vein patterns in the human finger to identify individuals. The advantages of finger vein over …
KP Cheng, EY Chang, YF Wang - US Patent 7,956,890, 2011 - Google Patents
(57) ABSTRACT A surveillance system is provided that includes at least one sensor disposed in a security area of a Surveillance region to sense an occurrence of a potential …
Results are presented for the largest experimental study to date that investigates the comparison and combination of 2D and 3D face data for biometric recognition. To our …
S Ray, B Simion, AD Brown - 2011 IEEE 27th International …, 2011 - ieeexplore.ieee.org
The volume of spatial data generated and consumed is rising exponentially and new applications are emerging as the costs of storage, processing power and network bandwidth …
Wearables, such as Fitbit, Apple Watch, and Microsoft Band, with their rich collection of sensors, facilitate the tracking of healthcare-and wellness-related metrics. However, the …
The aim of this paper, regarding multimodal biometric verification, is twofold: on the one hand, some score fusion strategies reported in the literature are reviewed and, on the other …
KA Toh, X Jiang, WY Yau - IEEE Transactions on Signal …, 2004 - ieeexplore.ieee.org
In this paper, we address the multimodal biometric decision fusion problem. By exploring into the user-specific approach for learning and threshold setting, four possible paradigms …
A methodology for fusing multiple instances of biometric data to improve the performance of a personal identity verification system is developed. The fusion problem is formulated in the …