Haptic Guidance to Support Design Education and Collaboration for Blind and Visually Impaired People

Siu, Alexa F.; Chase, Elyse D. Z.; Kim, Gene S.-H.; Boadi-Agyemang, Abena; Gonzalez, Eric J.; Follmer, Sean

doi:10.1007/978-3-030-76324-4_9

Cited by 6 publications

(3 citation statements)

References 34 publications

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“…The complete dataset obtained through the IDW is normalized through the min-max normalization technique. The mini-max is generally a linear transformation technique in which the data is transformed with a pre-defined boundary [24]. The normalized data is obtained through Eq.…”

Section: B Preprocessing and Normalizationmentioning

confidence: 99%

HFIPO-DPNN: A Framework for Predicting the Dropout of Physically Impaired Student from Education

Marina.¹,

Senthilrajan²

2023

IJIET

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Education plays a significant role in individuals’ development and the economic growth of developing countries like India. Dropout of students from their studies is the major concern for any order of education. Some models for predicting the dropout of students are developed with several factors. Many of them lacked consistency as they backed their studies with the academic performance of the students. Especially, for those students who suffered from physical impairment, the dropout depends on several external factors. Hence, this work proposes a novel HFIPO-DPNN to predict the student dropout rooted in the previous semester’s marks. The proposed model enclosed the hybrid firefly and improved particle swarm algorithm to optimize the feature selection that influences the dropout of hearing-impaired students. The optimized feature data are used to predict the dropout with the novel DPNN. The optimized data was split and used for training the DPNN. The testing data is used to evaluate the performance of the proposed framework. The attributes used for predicting the student dropout are Family Size, Subject, Medium of Instruction, and so on. The data must be collected from 250 physically impaired children belonging to ITI institute, Bangalore. The outcome of the proposed framework is evaluated on several metrics. The accuracy of the proposed model is about 99.02%. The HFIPO-DPNN framework can be enhanced for predicting the dropout for students with other disabilities. The optimization showed that factors influencing education other than familial factors are to be considered in the prediction of dropout.

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Section: B Preprocessing and Normalizationmentioning

confidence: 99%

HFIPO-DPNN: A Framework for Predicting the Dropout of Physically Impaired Student from Education

Marina.¹,

Senthilrajan²

2023

IJIET

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“…Research has explored haptic interaction systems among individuals with visual impairments, often focusing on supporting wayfinding, navigation and orientation using wearable haptic artefacts (e.g., He et al, 2020;Kammoun et al, 2012;Mattheiss et al, 2017;Ross & Blasch, 2000). Other work has focused on designing interfaces to support the visually impaired to engage with graphics through 3D tactile systems (e.g., Memeo et al, 2021;Siu et al, 2021) to support science (Han, 2020) and object recognition (Dhaher & Clements, 2017). Within the context of geometry, some initial work has explored means of engaging children with shape or topological configurations (e.g., Buzzi et al, 2015), primarily using touch screens.…”

Section: Multisensory Feedbackmentioning

confidence: 99%

Multisensory Perception and Learning: Linking Pedagogy, Psychophysics, and Human–Computer Interaction

et al. 2022

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In this review, we discuss how specific sensory channels can mediate the learning of properties of the environment. In recent years, schools have increasingly been using multisensory technology for teaching. However, it still needs to be sufficiently grounded in neuroscientific and pedagogical evidence. Researchers have recently renewed understanding around the role of communication between sensory modalities during development. In the current review, we outline four principles that will aid technological development based on theoretical models of multisensory development and embodiment to foster in-depth, perceptual, and conceptual learning of mathematics. We also discuss how a multidisciplinary approach offers a unique contribution to development of new practical solutions for learning in school. Scientists, engineers, and pedagogical experts offer their interdisciplinary points of view on this topic. At the end of the review, we present our results, showing that one can use multiple sensory inputs and sensorimotor associations in multisensory technology to improve the discrimination of angles, but also possibly for educational purposes. Finally, we present an application, the ‘RobotAngle’ developed for primary (i.e., elementary) school children, which uses sounds and body movements to learn about angles.

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“…Haptic rendering algorithms and devices can provide feedback on common haptic feelings such as texture, compliance and shape. High-quality haptic feedback can enhance the immersion and realism in human–computer interaction, which has been widely used in many areas such as virtual surgery [ 1 ], education for the blind [ 2 ] and virtual reality games [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Potential Haptic Perceptual Dimensionality of Rendered Compliance

Shao

Feng

et al. 2023

Biomimetics

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Studies have proven that humans perceive haptic textures through different perceptual dimensions, such as rough/smooth and soft/hard, which provide useful guidance in the design of haptic devices. However, few of these have focused on the perception of compliance, which is another important perceptual property in haptic interfaces. This research was conducted to investigate the potential basic perceptual dimensions of the rendered compliance and quantify the effects of the simulation parameters. Two perceptual experiments were designed based on 27 stimuli samples generated by a 3-DOF haptic feedback device. Subjects were asked to describe these stimuli using adjectives, classify the samples, and rate them according to corresponding adjective labels. Multi-dimensional scaling (MDS) methods were then used to project adjective ratings into 2D and 3D perception spaces. According to the results, hardness and viscosity are considered two basic perceptual dimensions of the rendered compliance, while crispness can be regarded as a subsidiary perceptual dimension. Then, the relations between simulation parameters and perceptual feelings were analyzed by the regression analysis. This paper may provide a better understanding of the compliance perception mechanism and useful guidance for the improvement of rendering algorithms and devices for haptic human–computer interaction.

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Haptic Guidance to Support Design Education and Collaboration for Blind and Visually Impaired People

Cited by 6 publications

References 34 publications

HFIPO-DPNN: A Framework for Predicting the Dropout of Physically Impaired Student from Education

HFIPO-DPNN: A Framework for Predicting the Dropout of Physically Impaired Student from Education

Multisensory Perception and Learning: Linking Pedagogy, Psychophysics, and Human–Computer Interaction

Potential Haptic Perceptual Dimensionality of Rendered Compliance

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