Toward automation in hearing aid design

Sickel, Konrad; Baloch, Sajjad; Melkisetoglu, Rupen; Bubnik, Vojtech; Azernikov, Sergei; Fang, Tong

doi:10.1016/j.cad.2011.06.005

Cited by 12 publications

(4 citation statements)

References 17 publications

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“…Lasers are used to represent objects and scenes using 3D graphical illustration (e.g., Livatino et al, 2010;Sickel et al, 2011) andrendering (e.g., Chuen Leong et al, 2010;Morioka et al, 2012). Further improvements are needed in this area to support precise, effective collaboration.…”

Section: Area 2 Graphical Representationmentioning

confidence: 99%

“…However, when adopting and integrating laser technology, the following limitations should be taken in account: the nature of laser requires direct line of site along the laser beam; laser signal is influenced by disturbances and vibrations applied on the transmitting and receiving units, the media the laser beam pass through and the objects under investigations; in scenarios that laser is used as a tool (in manufacturing or medical domains), it require high power source and there is no tactile sensitivity or contact feedback; in mapping, spatial sensing, communication and collaboration tasks, due to the enormous amount of data collected at high rates, laser technology requires high computation power to cope with the amount of data and algorithms. (Sickel et al, 2011); collaborative processing (Chuen Leong et al, 2010) j j j…”

Section: Conclusion and Recommendationsmentioning

confidence: 99%

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A review and framework of laser-based collaboration support

Bechar

Nof

Wachs

2015

Annual Reviews in Control

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Section: Area 2 Graphical Representationmentioning

confidence: 99%

Section: Conclusion and Recommendationsmentioning

confidence: 99%

A review and framework of laser-based collaboration support

Bechar

Nof

Wachs

2015

Annual Reviews in Control

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“…13 ear dimensions were selected through a review of literatures and the decision by experts. 22 ear dimensions (length: 8; width: 7; depth: 1; angle: 2; ratio: 3; thickness: 1) were identified from 22 papers (Ahmed and Omer 2015;Alexander and Laubach 1968;Algazi et al 2001;Barut and Aktunc 2006;Bozkir et al 2006;Buckley et al 2005;Dellepiane et al 2008;Hammond et al 2004;Herskovits 1930;Jung 2000;Jung and Jung 2003;Jung et al 2014;Kalcioglu et al 2003;Kaushal and Kaushal 2011;Liu 2008;Meijerman, van der Lugt, and Maat 2007;Mohamed et al 2013;Nathan et al 2008;Paulsen 2004;Porter and Olson 2001;Sickel et al 2011;Taura, Adamu, and Modibbo 2013;Yoon and Jung 2002). 6 dimensions (length: 3; width: 2; depth: 1) were selected in the present study (Figure 2).…”

Section: Ear Dimensionsmentioning

confidence: 99%

Measurement and Application of 3D Ear Images For Earphone Design

Lee

Jung

Bok

et al. 2016

Proceedings of the Human Factors and Ergonomics Society Annual

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Detail anthropometric dimensions and a 3D shape of the outer-ear are applicable to design ear-related products such as an earphone. However, 3D scanning of the ear part is quite difficult due to a complex shape of the ear, also detailed ear dimensions which are needed to be measured for earphone design were not identified in previous studies. This study collected 3D scan images of the whole outer-ear from 100 Korean participants (50 females and 50 males) aged 20 to 59, then measured their detailed ear dimensions for earphone design. The pinna part was directly 3D scanned; and complex shape of the concha and acoustic canal parts were cast by applying an ear casting tool, then the cast was scanned in 3D. 13 ear dimensions were measured by applying an ear measurement system coded using Matlab. Both 3D ear scans and ear measurements were applied to design some earphone parts (earphone-head, ear-band, ear-tip) in this study.

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“…The third strategy is to design for individual fit. It is widely used for the design of hearing-aid equipment 23 and customized earphones. Customized earphones, such as UE custom in-ear monitors and QDC in-ear earphones, were conducted to fit the unique shape of ears to provide incredible comfort and noise cancellation.…”

mentioning

confidence: 99%

An earphone fit deviation analysis algorithm

Yan

Liu

Wang

2023

Sci Rep

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This study provides an accurate method for evaluating the fit of earphones, which could be used for establishing a linkage between interference/gap values with human perception. Seven commercial CAD software tools stood out and were explored for the analysis of the deviation between earphone and ear. However, the current deviation analysis method remains to be improved for earphone fit evaluation due to excessive points in the calculation (Geomagic Wrap and Siemens NX), lack of value on interference (Geomagic Control X), computation boundary required (Rapidform XOR/Redesign), repetitive computation with same points and inclined calculation line segment or even invalid calculation (Solidworks, Creo). Therefore, an accurate deviation analysis algorithm was promoted, which calculated the deviation between earphone and ear exactly and classified the interference set and gap set precisely. There are five main procedures of this algorithm, which are point cloud model pre-processing, the generation of distance vectors, the discrimination of interference set and gap set, the discrimination of validity, and statistical analysis and visualization. Furthermore, the usability and validity of the deviation analysis algorithm were verified through statistical analysis and comparing visual effects based on the earphone-wearing experiment. It is certified that the deviation analysis algorithm is appropriate for earphone fit evaluation and the eight indexes of this algorithm were proved to be related to subjective comfort scores. It is meaningful for ear-worn product fit analysis, design, and development phases.

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Toward automation in hearing aid design

Cited by 12 publications

References 17 publications

A review and framework of laser-based collaboration support

A review and framework of laser-based collaboration support

Measurement and Application of 3D Ear Images For Earphone Design

An earphone fit deviation analysis algorithm

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