Ambient Intelligence Technologies for Visually Impaired: A Mapping Study

Oliveira, Juliana Damasio; Moraes, Joao; Bordini, Rafael H.

doi:10.1007/978-3-030-70416-2_21

Cited by 2 publications

(3 citation statements)

References 22 publications

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“…Mapping study: we performed a mapping study to identify the techniques, technologies, architectures, methodologies, features, and evaluations most used or conducted in the literature [ 25 ].…”

Section: Methodsmentioning

confidence: 99%

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Multi-Agent Interaction to Assist Visually-Impaired and Elderly People

Oliveira

Engelmann

Kniest

et al. 2022

IJERPH

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A voice-controlled smart home system based on conversational agents can address the specific needs of older people, proactively providing support, compensating for cognitive decline, and coping with solitude, among other features. In particular, Multi-Agent Systems (MAS) platforms provide considerable support for complex adaptive systems that are naturally distributed and situated in dynamic environments, such as Ambient intelligence (AmI) applications. Such autonomous intelligent agents are capable of independent reasoning and joint analysis of complex situations to support high-level interaction with humans, besides providing typical characteristics of MAS, such as cooperation and coordinated action. In this context, we developed an approach using a MAS previously evaluated for visually impaired users, where most of the system’s functionalities are also helpful for the elderly. Our methodology is based on the four steps of the interactive design process. As a result, we determined that our approach has elements that allow for natural interaction with users, and we identified and discussed improvements and new features for future work. We believe that our findings can point to directions for building AmI systems that are capable of more natural interaction with users.

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Section: Methodsmentioning

confidence: 99%

“…In our previous research [ 24 , 25 ], we identify the main features that visually impaired people need in their homes. Then, we grouped these features into several categories, depicted in Figure 1 , and include the highlighted features in our approach.…”

Section: An Approach To Ambient Assisted Livingmentioning

confidence: 99%

Multi-Agent Interaction to Assist Visually-Impaired and Elderly People

Oliveira

Engelmann

Kniest

et al. 2022

IJERPH

Self Cite

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“…In addition, the same movement of athletes in the same sport can be compared horizontally to find out the gap and problems between athletes' movements and standard movements, which will help athletes improve and reduce the possibility of repeated training [ 8 ]. At the same time, it allows athletes to more intuitively understand the training content and give rapid feedback to reduce sports injuries caused by irregular sports [ 9 ]. However, the traditional athlete posture recognition and estimation methods cannot fully extract image features.…”

Section: Introductionmentioning

confidence: 99%

Application of Human Posture Recognition Based on the Convolutional Neural Network in Physical Training Guidance

Wang

2022

Computational Intelligence and Neuroscience

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The application of sports game video analysis in athlete training and competition analysis feedback has attracted extensive attention, but the traditional sports human body posture estimation method has a large error between the athlete’s human body posture estimation results and the actual results in the complex environment and the athlete’s body parts are blocked. Therefore, this study proposes a convolutional neural network for athlete pose estimation in sports game video. Based on the improved model, multiscale model, and large perception model, a superimposed hourglass network is constructed, and the gradient disappearance problem of the convolutional neural network is solved using intermediate supervision. The experimental results show that the athlete pose estimation model based on the convolutional neural network can improve the accuracy of athlete pose estimation and reduce the negative impact of occlusion environment on athlete pose estimation to a certain extent. In addition, compared with other athletes’ standing posture estimation methods, the model has competitive advantages and high accuracy under widely used standard conditions.

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Ambient Intelligence Technologies for Visually Impaired: A Mapping Study

Cited by 2 publications

References 22 publications

Multi-Agent Interaction to Assist Visually-Impaired and Elderly People

Multi-Agent Interaction to Assist Visually-Impaired and Elderly People

Application of Human Posture Recognition Based on the Convolutional Neural Network in Physical Training Guidance

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