Mobile and wearable devices have enabled numerous applications, including activity
tracking, wellness monitoring, and human–computer interaction, that measure and improve …

Biometrics is the branch of science that deals with the identification and verification of an
individual based on the physiological and behavioral traits. These traits or identifiers are …

It is known that the inconsistent distributions and representations of different modalities, such
as image and text, cause the heterogeneity gap, which makes it very challenging to correlate …

Deep learning has recently attracted much attention due to its excellent performance in
processing audio, image, and video data. However, few studies are devoted to the field of …

As the basic guarantee for the reliability and economic operations of state grid corporations,
power load prediction plays a vital role in power system management. To achieve the …

Fusion of multiple modalities from different sensors is an important area of research for
multimodal human action recognition. In this paper, we conduct an in-depth study to …

Hand gestures recognition (HGR) has been considered as one of the crucial research fields
of human-computer interaction (HCI). Computer vision is a very active research field in the …

Accurate estimation of lithium-ion battery state-of-health (SOH) is important for the safe
operation of electric vehicles; however, in practical applications, the accuracy of SOH …

We propose a novel approach for textual input which is based on air-writing recognition
using smart-bands. The proposed approach enables the user to hand-write in the air in an …

Gesture recognition becomes a thriving research area in modern human motion recognition
systems. The intensification of demands on efficient interactive human-machine-interface …