Hamlet: A hierarchical multimodal attention-based human activity recognition algorithm
To fluently collaborate with people, robots need the ability to recognize human activities
accurately. Although modern robots are equipped with various sensors, robust human …
accurately. Although modern robots are equipped with various sensors, robust human …
Multi-gat: A graphical attention-based hierarchical multimodal representation learning approach for human activity recognition
Recognizing human activities is one of the crucial capabilities that a robot needs to have to
be useful around people. Although modern robots are equipped with various types of …
be useful around people. Although modern robots are equipped with various types of …
Measuring Prosodic Entrainment in Conversation: A Review and Comparison of Different Methods
Purpose: This study aims to further our understanding of prosodic entrainment and its
different subtypes by analyzing a single corpus of conversations with 12 different methods …
different subtypes by analyzing a single corpus of conversations with 12 different methods …
Robotics technology in mental health care
LD Riek - Artificial intelligence in behavioral and mental health …, 2016 - Elsevier
This chapter discusses the present and potential future use of robotics technology in mental
healthcare practice. Robots have been used to help treat people with autism, dementia, and …
healthcare practice. Robots have been used to help treat people with autism, dementia, and …
Who's laughing nao? examining perceptions of failure in a humorous robot partner
Social robots are being deployed to interact with people in various scenarios, where they
are expected to in-corporate human-like conversational strategies to achieve flu-ency in …
are expected to in-corporate human-like conversational strategies to achieve flu-ency in …
A scalable approach to predict multi-agent motion for human-robot collaboration
Human motion prediction is considered a key component for enabling fluent human-robot
collaboration. The ability to anticipate the motion and subsequent intent of the partner (s) …
collaboration. The ability to anticipate the motion and subsequent intent of the partner (s) …
Movement coordination in human–robot teams: a dynamical systems approach
In order to be effective teammates, robots need to be able to understand high-level human
behavior to recognize, anticipate, and adapt to human motion. We have designed a new …
behavior to recognize, anticipate, and adapt to human motion. We have designed a new …
[PDF][PDF] Human-robot teaming: Approaches from joint action and dynamical systems
As robots start to work alongside people, they are expected to coordinate fluently with
humans in teams. Many researchers have explored the problems involved in building more …
humans in teams. Many researchers have explored the problems involved in building more …
Activity recognition in manufacturing: The roles of motion capture and sEMG+ inertial wearables in detecting fine vs. gross motion
In safety-critical environments, robots need to reliably recognize human activity to be
effective and trust-worthy partners. Since most human activity recognition (HAR) approaches …
effective and trust-worthy partners. Since most human activity recognition (HAR) approaches …
Interaction patterns and individual dynamics shape the way we move in synchrony
An important open problem in Human Behaviour is to understand how coordination
emerges in human ensembles. This problem has been seldom studied quantitatively in the …
emerges in human ensembles. This problem has been seldom studied quantitatively in the …