The association between tactile, motor and cognitive capacities and braille reading performance: a scoping review of primary evidence to advance research on braille and aging

Martiniello, Natalina; Wittich, Walter

doi:10.1080/09638288.2020.1839972

Cited by 9 publications

(12 citation statements)

References 75 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Aspek perilaku pada bagian motorik perlu dikuasai untuk memegang alat tulis Braille sehingga hasil tulisan dapat terbaca oleh orang lain. (Martiniello & Wittich, 2020) menemukan hasil studi literatur bahwa ketiga aspek sebagai modalitas belajar terbukti berhubungan dengan kemampuan baca tulis Braille.…”

Section: Pendahuluanunclassified

“…Aspek yang paling berpengaruh yaitu kapasitas kognitif untuk dapat menguasai persepsi taktual dan keterampilan motorik dalam baca tulis Braille. Di sisi lain, usia anak tunanetra juga dijadikan pertimbangan dalam penetapan pembelajaran termasuk metode yang digunakan agar hasil keterampilan baca tulis Braille mencapai optimal (Martiniello & Wittich, 2020). Penelitian (Lee, Hock, & Hosshan, 2021) menemukan bahwa pendekatan yang paling banyak digunakan dalam pembelajaran Braille yaitu behavioristik dengan kerangka sistematis menguraikan elemen, komponen dan unit.…”

Section: Pendahuluanunclassified

“…Keterampilan persepsi taktual memberikan informasi bentuk benda yang diraba tetapi belum sempurna, sedangkan persepsi spasial akan mendukung keutuhan oybek karena adanya pemahaman tentang ukuran, ruang dan jarak melalui perabaan (Alya Qasdina Ng Ai Lee, 2021). Kemampuan persepsi taktual dan pergerakan motorik jari tangan tidak dapat berfungsi optimal dalam membaca Braille sehingga perlu dukungan keterlibatan aspek kognitif (Martiniello & Wittich, 2020). Keunikan bentuk formulasi Braille mempengaruhi kemampuan baca tulis huruf Braille.…”

Section: Hasil Dan Pembahasanunclassified

See 2 more Smart Citations

Analisis Teori Belajar dalam Metode Pembelajaran Membaca Braille pada Anak Tunanetra

Handoyo

2022

J. Studi Guru Pembelajaran

View full text Add to dashboard Cite

Penelitian ini bertujuan mendeskripsikan hasil identifikasi landasan teori belajar dalam penggunaan metode pembelajaran membaca Braille bagi anak tunanetra. Metode yang digunakan yaitu studi literatur review 8 artikel dengan kata kunci metode, membaca, Braille dan anak tunanetra sebagai kriteria. Analisis data menggunakan meta sintesis dengan pendekatan meta etnografi. Hasil penelitian menunjukkan bahwa teori kognitif yang digunakan berupa konstruktivistik untuk mendukung kemampuan abstraksi dalam membentuk konsep huruf Braille melalui pembelajaran berbasis masalah. Pada peningkatan kemampuan baca tulis dilatihkan dengan pendekatan teori behavioristik agar materi tersimpan dalam ingatan jangka panjang dengan adanya reinforcement. Di Indonesia, metode pembelajaran dengan landasan behavioristik menjadi pilihan mayoritas dengan fokus penekanan pada aspek keterampilan taktual. Penggunaan konstruktivistik cenderung terbatas sehingga aspek persepsi spasial belum menjadi prioritas dalam kemampuan pra dan membaca permulaan Braille. Guru perlu memperhatikan prinsip setiap teori pembelajaran sebagai pertimbangan memberikan tindakan sesuai prasyarat persepsi taktual dan spasial untuk meningkatkan keterampilan membaca Braille.

show abstract

Section: Pendahuluanunclassified

Section: Hasil Dan Pembahasanunclassified

See 1 more Smart Citation

Analisis Teori Belajar dalam Metode Pembelajaran Membaca Braille pada Anak Tunanetra

Handoyo

2022

J. Studi Guru Pembelajaran

View full text Add to dashboard Cite

show abstract

“…In Braille reading, characters are read sequentially, unlike print reading, where entire words or groups of words can be perceived simultaneously by the eye. However, expert users can significantly speed up their Braille reading as they learn to identify various lexical, perceptual, and contextual clues (Martiniello and Wittich, 2020), achieving optimal reading speeds of at most 80-120 words per minute (Bola et al, 2016), which is about half the average silent reading rate for adults in English (Brysbaert, 2019).…”

Section: Introductionmentioning

confidence: 99%

Braille letter reading: A benchmark for spatio-temporal pattern recognition on neuromorphic hardware

Müller-Cleve

Fra²,

Khacef³

et al. 2022

Front. Neurosci.

View full text Add to dashboard Cite

Spatio-temporal pattern recognition is a fundamental ability of the brain which is required for numerous real-world activities. Recent deep learning approaches have reached outstanding accuracies in such tasks, but their implementation on conventional embedded solutions is still very computationally and energy expensive. Tactile sensing in robotic applications is a representative example where real-time processing and energy efficiency are required. Following a brain-inspired computing approach, we propose a new benchmark for spatio-temporal tactile pattern recognition at the edge through Braille letter reading. We recorded a new Braille letters dataset based on the capacitive tactile sensors of the iCub robot's fingertip. We then investigated the importance of spatial and temporal information as well as the impact of event-based encoding on spike-based computation. Afterward, we trained and compared feedforward and recurrent Spiking Neural Networks (SNNs) offline using Backpropagation Through Time (BPTT) with surrogate gradients, then we deployed them on the Intel Loihi neuromorphic chip for fast and efficient inference. We compared our approach to standard classifiers, in particular to the Long Short-Term Memory (LSTM) deployed on the embedded NVIDIA Jetson GPU, in terms of classification accuracy, power, and energy consumption together with computational delay. Our results show that the LSTM reaches ~97% of accuracy, outperforming the recurrent SNN by ~17% when using continuous frame-based data instead of event-based inputs. However, the recurrent SNN on Loihi with event-based inputs is ~500 times more energy-efficient than the LSTM on Jetson, requiring a total power of only ~30 mW. This work proposes a new benchmark for tactile sensing and highlights the challenges and opportunities of event-based encoding, neuromorphic hardware, and spike-based computing for spatio-temporal pattern recognition at the edge.

show abstract

“…In braille reading, characters are read sequentially, unlike print reading, where entire words or groups of words can be perceived simultaneously by the eye. However, expert users can significantly speed up their braille reading as they learn to identify various lexical, perceptual, and contextual clues [4], achieving optimal reading speeds of at most 80-120 words per minute [5], which is about half the average silent reading rate for adults in English [6].…”

Section: Introductionmentioning

confidence: 99%

Braille Letter Reading: A Benchmark for Spatio-Temporal Pattern Recognition on Neuromorphic Hardware

Muller-Cleve¹,

Fra²,

Khacef³

et al. 2022

Preprint

View full text Add to dashboard Cite

Spatio-temporal pattern recognition is a fundamental ability of the brain which is required for numerous real-world applications. Recent deep learning approaches have reached outstanding accuracy in such tasks, but their implementation on conventional embedded solutions is still very computationally and energy expensive. Tactile sensing in robotic applications is a representative example where real-time processing and energy-efficiency are required. Following a brain-inspired computing approach, we propose a new benchmark for spatio-temporal tactile pattern recognition at the edge through braille letters reading. We recorded a new braille letters dataset based on the capacitive tactile sensors/fingertip of the iCub robot, then we investigated the importance of temporal information and the impact of event-based encoding for spike-based/event-based computation. Afterwards, we trained and compared feed-forward and recurrent spiking neural networks (SNNs) offline using back-propagation through time with surrogate gradients, then we deployed them on the Intel Loihi neuromorphic chip for fast and efficient inference. We confronted our approach to standard classifiers, in particular to a Long Short-Term Memory (LSTM) deployed on the embedded Nvidia Jetson GPU in terms of classification accuracy, power/energy consumption and computational delay. Our results show that the LSTM outperforms the recurrent SNN in terms of accuracy by 14%. However, the recurrent SNN on Loihi is 237 times more energy-efficient than the LSTM on Jetson, requiring an average power of only 31mW. This work proposes a new benchmark for tactile sensing and highlights the challenges and opportunities of event-based encoding, neuromorphic hardware and spike-based computing for spatio-temporal pattern recognition at the edge.

show abstract

The association between tactile, motor and cognitive capacities and braille reading performance: a scoping review of primary evidence to advance research on braille and aging

Abstract: 2020): The association between tactile, motor and cognitive capacities and braille reading performance: a scoping review of primary evidence to advance research on braille and aging, Disability and Rehabilitation,

Cited by 9 publications

References 75 publications

Analisis Teori Belajar dalam Metode Pembelajaran Membaca Braille pada Anak Tunanetra

Analisis Teori Belajar dalam Metode Pembelajaran Membaca Braille pada Anak Tunanetra

Braille letter reading: A benchmark for spatio-temporal pattern recognition on neuromorphic hardware

Braille Letter Reading: A Benchmark for Spatio-Temporal Pattern Recognition on Neuromorphic Hardware

Contact Info

Product

Resources

About