Recently, social touch gesture recognition has been considered an important topic for touch
modality, which can lead to highly efficient and realistic human‐robot interaction. In this …

In this paper, a novel approach for recognition of walking activities and gait events with
wearable sensors is presented. This approach, called adaptive Bayesian inference system …

Recognition of movement is a crucial process to assist humans in activities of daily living,
such as walking. In this work, a high-level method for the simultaneous recognition of …

Autonomous exploration in robotics is a crucial feature to achieve robust and safe systems
capable to interact with and recognize their surrounding environment. In this paper, we …

Identification of human movements is crucial for the design of intelligent devices capable to
provide assistance. In this work, a Bayesian formulation, together with a sequential analysis …

From neuroscience, brain imaging and the psychology of memory, we are beginning to
assemble an integrated theory of the brain subsystems and pathways that allow the …

In this paper, we present a multimodal sensor interface that is capable of recognizing hand
gestures for human-robot interaction. The proposed system is composed of an array of …

The idea of being present in a remote location has inspired researchers to develop robotic
devices, that make humans to experience the feeling of telepresence. These devices need …

Synthetic psychology describes the approach of “understanding through building” applied to
the human condition. In this chapter, we consider the specific challenge of synthesizing a …

In this article, we present a low-cost multimodal tactile sensor capable of providing
accelerometer, gyroscope, and pressure data using a seven-axis chip as a sensing element …