Towards the Deployment of a Social Robot at an Elderly Day Care Facility

Cooper, Sara; Ros, Raquel

doi:10.1007/978-3-031-24670-8_25

Cited by 5 publications

(2 citation statements)

References 17 publications

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“…Of the system is as follows, mainly composed of speech synthesis module, speech recognition module [5,6]and interaction management module , as shown in Figure 2 . The speech synthesis function module, as the output part of the speech interaction model, uses advanced prosody analysis and synthesis algorithms to convert text sequences into sound waveforms.…”

Section: Intelligent Voice Interaction Algorithmmentioning

confidence: 99%

Artificial intelligence-based intelligent elderly care system

wu,

Hu,

et al. 2023

Third International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2023)

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This paper proposes and designs an all-round, multi-dimensional artificial intelligence-based smart elderly care system around the problem of accompanying the elderly at home. Its main goal is to realize real-time monitoring of the life of the elderly and the capture of emotional fluctuations. When the system detects abnormal conditions such as the fall of the elderly, it will immediately send out an alarm and notify the relevant guardians. By integrating voice interaction technology, the system can recognize and understand the tone and emotions of the elderly, analyze the psychological state of the elderly and provide timely communication and comfort to help the elderly adjust their emotions and improve their quality of life. The system has set up a memo function to provide reminders for daily life, such as drinking water and exercising, so as to maintain the healthy living habits and physical condition of the elderly. The life of the elderly is relatively simple, and it is difficult to spend a lot of free time. The system has designed a VR experience hall, which has a variety of entertainment experiences such as virtual tourism, interactive games, virtual shopping , and virtual chatting . The system also uses big data visualization technology to collect and analyze the health indicators, living conditions and mental outlook of the elderly in real time, and display them in the form of trend graphs, so that the physical and mental conditions of the elderly can be fully grasped. The goal of this system is to change the traditional concept of "care for the aged" and promote the new concept of "enjoy the old".

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Section: Intelligent Voice Interaction Algorithmmentioning

confidence: 99%

Artificial intelligence-based intelligent elderly care system

wu,

Hu,

et al. 2023

Third International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2023)

View full text Add to dashboard Cite

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“…Human–robot interactions have been one of the most studied fields in robotics during the last decade, having great technological developments in areas such as the teleoperation of machines, which has allowed humankind to reach places and perform tasks that were previously considered impossible in a comfortable and safe way [ 1 , 2 , 3 ]. In addition, with the introduction of assistive humanoid robots to the market, a new spectrum for teleoperation has been generated, having a great focus on this type of machine, as they can have great potential in educational or even therapeutic fields [ 4 , 5 , 6 , 7 , 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

A Novel Multi-Modal Teleoperation of a Humanoid Assistive Robot with Real-Time Motion Mimic

et al. 2023

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This research shows the development of a teleoperation system with an assistive robot (NAO) through a Kinect V2 sensor, a set of Meta Quest virtual reality glasses, and Nintendo Switch controllers (Joycons), with the use of the Robot Operating System (ROS) framework to implement the communication between devices. In this paper, two interchangeable operating models are proposed. An exclusive controller is used to control the robot’s movement to perform assignments that require long-distance travel. Another teleoperation protocol uses the skeleton joints information readings by the Kinect sensor, the orientation of the Meta Quest, and the button press and thumbstick movements of the Joycons to control the arm joints and head of the assistive robot, and its movement in a limited area. They give image feedback to the operator in the VR glasses in a first-person perspective and retrieve the user’s voice to be spoken by the assistive robot. Results are promising and can be used for educational and therapeutic purposes.

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