Abstract
In recent years there has been a growing concern about the inclusion of people with disabilities in society. Many research in assistive technologies have been carried out, but with a significant disparity between support for the visually impaired and the hearing-impaired, with research referring to visual impairment accounting for more than 90% of them. Furthermore, an analysis of surveys related to the topic shows the low scientific production of assistive technologies for the hearing-impaired, and to our best knowledge, there is no survey specifically dedicated to alert systems for them. Considering this imbalance in scientific production and bearing in mind the positive impact that alert systems can have on the life of a hearing-impaired person, we present a survey in the scientific literature on alert systems specifically designed for people with hearing impairment. The survey aims to contribute to the scientific community in presenting the current scenario of these systems and directing future research, and contributing to people who can directly benefit from technological advances. A search in the Science Direct, IEEE Xplore, and ACM Digital Library databases for alert systems to hearing-impaired people in which mobile devices are involved returned 795 papers, 20 of which met the criteria defined at research protocol of the systematic literature review. These papers are described here, with notes and reflections on their usefulness, potentials, involved technologies, and possible improvements. We describe our findings of assistive systems for the hearing impaired, pointing out a gap in research in this field, as well as the possibilities for future work based on the data analyzed in this systematic literature review.


Similar content being viewed by others
Data availability
Not applicable
Code availability
Not applicable.
References
Abbas MK, Tong B, Abdulla R (2018) A hybrid alert system for deaf people using context-aware computing and image processing. 4th international conference on computer and information sciences (ICCOINS), pp 1–6. https://doi.org/10.1109/ICCOINS.2018.8510584
Arunachalam R (2019) A strategic approach to recognize the speech of the children with hearing impairment: different sets of features and models. Multimed Tools Appl 78:20787–20808. https://doi.org/10.1007/s11042-019-7329-6
Bahbouh NM, Alkhodre AB, Sen AAA, Namoun A, Albouq SS (2019) A cost effective IoT-based system for monitoring baby incidents by deaf parents. International conference on advances in the emerging computing technologies (AECT), pp 1–6. https://doi.org/10.1109/AECT47998.2020.9194179
Bhat GS, Shankar N, Panahi IMS (2020) Design and integration of alert signal detector and separator for hearing aid applications. IEEE Access 8:106296–106309. https://doi.org/10.1109/ACCESS.2020.2999546
Bourne RRA et al (2020) Global prevalence of blindness and distance and near vision impairment in 2020: progress towards the vision 2020 targets and what the future holds. In Invest Ophthalmol Vis Sci 61
Bragg D, Huynh N, Ladner RE (2016) A personalizable mobile sound detector app design for deaf and hard-of-hearing users. 18th international ACM SIGACCESS conference on computers and accessibility, pp 3–13. https://doi.org/10.1145/2982142.2982171
Chatterjee A, Aceves A, Dungca R, Flores H, Giddens K (2016) Classification of wearable computing: a survey of electronic assistive technology and future design. Second international conference on research in computational intelligence and communication networks (ICRCICN), pp 22–27. https://doi.org/10.1109/ICRCICN.2016.7813545
Chen C, Kuo P, Chiang Y, Liang J, Liang K, Chang P (2019) Audio-based early warning system of sound events on the road for improving the safety of hearing-impaired people. IEEE 8th global conference on consumer electronics (GCCE), pp 933–936. https://doi.org/10.1109/GCCE46687.2019.9015516
Dabran I, Elmakias O, Shmelkin R, Zusman Y (2018) An intelligent sound alam recognition system for smart cars and smart homes. IEEE/IFIP network operations and management symposium, pp 1–4. https://doi.org/10.1109/NOMS.2018.8406181
Dhanjal AS, Singh W (2019) Tools and techniques of assistive technology for hearing-impaired people. International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon), pp 205–210. https://doi.org/10.1109/COMITCon.2019.8862454
Findlater L, Chinh B, Jain D, Froehlich J, Kushalnagar R, Lin AC (2019) Deaf and hard-of-hearing individuals' preferences for wearable and mobile sound awareness technologies. Conference on Human Factors in Computing Systems pp 1–13. https://doi.org/10.1145/3290605.3300276
Ito A et al (2008) Universal use of information delivery and display system using ad hoc network for deaf people in times of disaster. Third International Conference on Broadband Communications, Information Technology & Biomedical Applications, pp 486–491. https://doi.org/10.1109/BROADCOM.2008.57
Jain D, Ngo H, Patel P, Goodman S, Findlater L, Froehlich J (2020b) Sound watch: exploring smartwatch-based deep learning approaches to support sound awareness for deaf and hard of hearing users. The 22nd international ACM SIGACCESS conference on computers and accessibility pp 1–13. https://doi.org/10.1145/3373625.3416991
Jain D et al (2020a) Home sound: an iterative field deployment of an in-home sound awareness system for deaf or hard of hearing users. 2020 CHI conference on human factors in computing systems pp 1–12. https://doi.org/10.1145/3313831.3376758
Kim GY, Shin S, Kim JY, Kim H (2018) Sound event detection and haptic vibration based home monitoring assistant system for the deaf and hard-of-hearing. Workshop on multimedia for accessible human computer Interface, pp 1–7. https://doi.org/10.1145/3264856.3264857
Kitchenham B (2004) Procedures for performing systematic reviews. Joint technical report software engineering group. Department of Computer Science, Keele University, United Kingdom and empirical software engineering, National ICT Australia Ltd., Australia
Kumari K, Goel P, Reddy SRN (2015) PiCam: IoT based wireless alert system for deaf and hard of hearing. International conference on advanced computing and communications (ADCOM) pp 39–44. https://doi.org/10.1109/ADCOM.2015.14
Li S, Fan X, Zhang Y, Trappe W, Lindqvist J, Howard RE (2017) Auto++: detecting cars using embedded microphones in real-time. ACM Int Mobile Wearable Ubiquitous Technol 1(3):1–20. https://doi.org/10.1145/3130938
Mărculescu C, Machedon A, Drăgulinescu AMC, Marcu I, Zamfirescu C (2020) LoRa and Bluetooth-based IoT alarm clock device for hearing-impaired people. IEEE 26th international symposium for design and Technology in Electronic Packaging (SIITME) pp 140–143. https://doi.org/10.1109/SIITME50350.2020.9292234
Mielke M, Brueck R (2013) Smartphone application for automatic classification of environmental sound. 20th international conference mixed Design of Integrated Circuits and Systems - MIXDES, pp 512–515
Mielke M, Brueck R (2015) Design and evaluation of a smartphone application for non-speech sound awareness for people with hearing loss. 37th annual international conference of the IEEE engineering in medicine and biology society (EMBC) pp 5008–5011. https://doi.org/10.1109/EMBC.2015.7319516
Mohanraj I, Raakesh BR (2017) ICT interventions on aiding people with disabilties - a state of art survey. International conference on inventive communication and computational technologies (ICICCT) pp 189–194. https://doi.org/10.1109/ICICCT.2017.7975185
Padhy S, Tiwari J, Rathore S, Kumar N (2019) Emergency signal classification for the hearing impaired using multi-channel convolutional neural network architecture. IEEE conference on information and communication technology, pp 1–6. https://doi.org/10.1109/CICT48419.2019.9066252
Pradeep MK, Inchara KM, Lekhashree S, Likhith CN, Pavan U (2021) Real time assistive shoe for visually impaired people. 6th international conference for convergence in technology (I2CT) pp 1–5. https://doi.org/10.1109/I2CT51068.2021.9417928
Rastgoo R, Kiani K, Escalera S (2021) Real-time isolated hand sign language recognition using deep networks and SVD. J Ambient Intell Humaniz Comput 13:591–611. https://doi.org/10.1007/s12652-021-02920-8
Sen AAA, Aljohani AAS, Bahbouh NM, Alhaboob O (2021) Designing a smart bracelet based on Arduino for deaf parents to interact with their children 2021 international conference on computing for sustainable global development (INDIACom) pp 380–384. https://doi.org/10.1109/INDIACom51348.2021.00066
Sicong L, Zimu Z, Junzhao D, Longfei S, Han J, Wang X (2017) UbiEar: bringing location-independent sound awareness to the hard-of-hearing people with smartphones. ACM Int Mobile Wearable Ubiquitous Technol 1(2):1–21. https://doi.org/10.1145/3090082
Sneha T, Balasubramanian S et al (2021) Home security system for the hearing impaired. 5th international conference on computer, communication and signal processing (ICCCSP) pp 1–5. https://doi.org/10.1109/ICCCSP52374.2021.9465502
Suriyachai P (2020) Incoming VoIP call alert system for the hearing-impaired. 5th international conference on information technology (InCIT) pp 222–227. https://doi.org/10.1109/InCIT50588.2020.9310946
World Health Organization (2021) World report on hearing. World Health Organization, Geneva
Yaegashi JG, Nader M, Yaegashi SFR, Mação TE (2021) The inclusion of people with special educational needs: historical contextualization. Rev Bras Iniciação Científica 8:1–22
Author information
Authors and Affiliations
Contributions
All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Cleyton Aparecido Dim, Rafael Martins Feitosa, Marcelle Pereira Mota and Jefferson Magalhães de Morais. The first version of the manuscript was written by Cleyton Aparecido Dim and was revised by Marcelle Pereira Mota and Jefferson Magalhães de Morais. All authors read approved the manuscript.
Corresponding author
Ethics declarations
Conflict of interest
The authors have no conflicts of interest to declare that are relevant to the content of this article.
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Dim, C.A., Feitosa, R.M., Mota, M.P. et al. Alert systems to hearing-impaired people: a systematic review. Multimed Tools Appl 81, 32351–32370 (2022). https://doi.org/10.1007/s11042-022-13045-1
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11042-022-13045-1