IJETSI

Title: REAL-TIME IMPLEMENTATION OF MONITOR ALGORITHM ON AN ARM MICROPROCESSOR TO BE USED AS A WEARABLE VIBROTACTILE AID
Authors: Parivash Ranjbar, Amin Saremi , Dag Stranneby
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Parivash Ranjbar1,2, Amin Saremi3 , Dag Stranneby4 1. Audiological Research Center at Orebro, University Hospital at Orebro, Sweden 2. School of Health Sciences, Orebro University, Orebro, Sweden. 3. Hearing4all and Department of Computational Neuroscience, Carl von Ossietzky University of Oldenburg, Oldenburg, Germany 4. School of Science and Technology s, Orebro University, Orebro, Sweden.
MLA 8 Ranjbar, Parivash, et al. "REAL-TIME IMPLEMENTATION OF MONITOR ALGORITHM ON AN ARM MICROPROCESSOR TO BE USED AS A WEARABLE VIBROTACTILE AID." IJETSI, vol. 3, no. 5, Oct. 2019, pp. 234-245, ijetsi.org/more2019.php?id=19. Accessed Oct. 2019. APA Ranjbar, P., Saremi, A., & Stranneby, D. (2019, October). REAL-TIME IMPLEMENTATION OF MONITOR ALGORITHM ON AN ARM MICROPROCESSOR TO BE USED AS A WEARABLE VIBROTACTILE AID. IJETSI, 3(5), 234-245. Retrieved from ijetsi.org/more2019.php?id=19 Chicago Ranjbar, Parivash, Amin Saremi, and Dag Stranneby. "REAL-TIME IMPLEMENTATION OF MONITOR ALGORITHM ON AN ARM MICROPROCESSOR TO BE USED AS A WEARABLE VIBROTACTILE AID." IJETSI 3, no. 5 (October 2019), 234-245. Accessed October, 2019. ijetsi.org/more2019.php?id=19.
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Abstract: Individuals with combined severe hearing and visual impairment mainly rely on their skin sense to get information about environmental sounds. A multichannel algorithm, 'MONITOR', consisting of six filters and sinusoidal modulators, was devised to convert auditive sounds into tangible vibrations. This paper presents a real-time implementation of this algorithm on an ARM Cortex-M4 digital signal processor (DSP). The implemented system comprises an input preprocessing stage that captures, enhances and filters the incoming sounds which are then sampled, buffered and digitally processed by the DSP where MONITOR and a simple noise management algorithm are applied; the result is sent to the DSP's digital-to-analog convertor (DAC) and is sufficiently amplified to drive the vibrotactile transducer placed on the wrist. The results show that the system codes a large intensity range (40 to 94 dB SPL) and a broad frequency band of input sounds (0.1 to 6 kHz) and delivers approximately 4.3 [m/s2] mechanical acceleration in response to a 1 kHz sinusoid input at 94 dB SPL, which can be vividly sensed on the human wrist. The presented DSP-based implementation manifests some important advantages over an existing mobile-based implementation of this algorithm, and is suitable for being produced as a wearable biomedical device.

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