In recent years, gesture recognition has been widely used in the fields of intelligent driving,
virtual reality, and human-computer interaction. With the development of artificial …

In this review, we describe current Machine Learning approaches to hand gesture
recognition with depth data from time-of-flight sensors. In particular, we summarise the …

Audio-visual speech recognition (AVSR) is one of the most promising solutions for reliable
speech recognition, particularly when audio is corrupted by noise. Additional visual …

In late fusion, each modality is processed in a separate unimodal Convolutional Neural
Network (CNN) stream and the scores of each modality are fused at the end. Due to its …

Real-time recognition of dynamic hand gestures from video streams is a challenging task
since (i) there is no indication when a gesture starts and ends in the video,(ii) performed …

Human gesture recognition using millimeter-wave (mmWave) signals provides attractive
applications including smart home and in-car interfaces. While existing works achieve …

Convolutional long short-term memory (LSTM) networks have been widely used for
action/gesture recognition, and different attention mechanisms have also been embedded …

Point clouds contain rich spatial information, which provides complementary cues for
gesture recognition. In this paper, we formulate gesture recognition as an irregular …

Gesture recognition has attracted considerable attention owing to its great potential in
applications. Although the great progress has been made recently in multi-modal learning …

Gesture recognition has found versatile applications in natural human–computer interaction
(HCI). Compared with traditional camera-based or wearable sensors-based solutions …