Mobile Robot Assistance for Disabled and Senior Citizens Using Hand Gestures

Sriram, Kotikalapudi; Palaniswamy, Suja

doi:10.1109/petpes47060.2019.9003821

Cited by 9 publications

(4 citation statements)

References 8 publications

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“…We found that 4 of the 7 compared works use video/image capture [27,29,30,33] for gesture recognition. Although these systems have high percentages of accuracy in gesture recognition, they also raise several issues and constraints.…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, these systems usually use software development kits (SDKs) or complex hardware that quickly becomes outdated or even obsolete. For example, Kinect SDK in [33] or the robotic setup in [30].…”

Section: Discussionmentioning

confidence: 99%

“…Most of the solutions use cameras for gesture recognition. For instance, [30] a mobile robot is controlled through user gestures to assist disabled and elderly people. The gestures are recognized by a camera in real time and the robot, controlled by wireless technology XBee radio module, receives requests to pick, transport and place objects.…”

Section: Related Workmentioning

confidence: 99%

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Internet of Things Assisted Monitoring Using Ultrasound-Based Gesture Recognition Contactless System

et al. 2021

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In the last decade, we have seen an increase in the use cases of digital technologies in our daily lives, including advanced systems such as our mobile applications, smart digital kiosks for intelligent retailing, touch screens for ordering food, or simple implementations such as the ticket machines in the butchers. However, from the perspective of interaction design, those sensing systems suffer from a range of limitations like low usability and poor hygiene. For example, the elderly or the disabled normally have huge difficulties when interacting with these types of digital systems. Moreover, the recent SARS-CoV-2 pandemic has made us to rethink the contact manner for interaction with the digital devices. Hence, in this paper, we have presented a novel solution for digital interaction through a contactless manner. Such a system can provide human gesture recognition and therefore it can be integrated into others to achieve contactless control. We have implemented a prototype based on cost efficient sensors to validate the idea's feasibility. A sequence of real world experiments has also been conducted to evaluate its performance. This system is composed with 1) piece of hardware-a grid of ultrasound sensors to capture the distance information from a human body; 2) a piece of software to analyse the data for gesture predictions. The analysis results then will be transformed into control commands to interact with the attached system. The experimental results have shown that the proposed system is capable of providing a contactless Human Computer Interaction (HCI), and also has a great opportunity to replace existing touching interaction manner with a remote control scheme.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Internet of Things Assisted Monitoring Using Ultrasound-Based Gesture Recognition Contactless System

et al. 2021

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“…Moreover, systems can assess environmental risks, such as household lights that are off or proximity to fall hazards (e.g., stairwells). Physical systems can provide physical assistance (e.g., lifting items, opening doors), monitoring, and therapeutic social functions ( 25 ). Robotic rehabilitation applications can provide both physical and cognitive support to individuals by monitoring physiological progress and promoting social interaction.…”

Section: Classification Of Ai and Robotic Systems In Medicinementioning

confidence: 99%

A Review of Artificial Intelligence and Robotics in Transformed Health Ecosystems

Denecke

Baudoin²

2022

Front. Med.

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Health care is shifting toward become proactive according to the concept of P5 medicine–a predictive, personalized, preventive, participatory and precision discipline. This patient-centered care heavily leverages the latest technologies of artificial intelligence (AI) and robotics that support diagnosis, decision making and treatment. In this paper, we present the role of AI and robotic systems in this evolution, including example use cases. We categorize systems along multiple dimensions such as the type of system, the degree of autonomy, the care setting where the systems are applied, and the application area. These technologies have already achieved notable results in the prediction of sepsis or cardiovascular risk, the monitoring of vital parameters in intensive care units, or in the form of home care robots. Still, while much research is conducted around AI and robotics in health care, adoption in real world care settings is still limited. To remove adoption barriers, we need to address issues such as safety, security, privacy and ethical principles; detect and eliminate bias that could result in harmful or unfair clinical decisions; and build trust in and societal acceptance of AI.

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Easy Hand Gesture Control of a ROS-Car Using Google MediaPipe for Surveillance Use

Allena,

De Leon,

Wong

2022

Lecture Notes in Computer Science

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Mobile Robot Assistance for Disabled and Senior Citizens Using Hand Gestures

Cited by 9 publications

References 8 publications

Internet of Things Assisted Monitoring Using Ultrasound-Based Gesture Recognition Contactless System

Internet of Things Assisted Monitoring Using Ultrasound-Based Gesture Recognition Contactless System

A Review of Artificial Intelligence and Robotics in Transformed Health Ecosystems

Easy Hand Gesture Control of a ROS-Car Using Google MediaPipe for Surveillance Use

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