Internet of Things (IoT) adoption in Healthcare Industry and bag of sound for the blindness  a case study in Nishapur Hakim Hospital

Sepideh Gohari

doi:10.63053/ijset.93

Authors

Sepideh Gohari 1.Department teacher assistant PhD student engineering faculty of Engineering north Tehran branch, Islamic Azad university,Tehran, Iran

DOI:

https://doi.org/10.63053/ijset.93

Keywords:

Internet of Things technology, smart bag for the blind, patient care industry, and individuals with disabilities and blindness

Abstract

The smart bag for the blind is an extraordinary assistive technology that helps blind or visually impaired individuals gain more independence and access to their surroundings. Some smart bags can read texts from signs, books, or scanned documents and audibly convey them to the blind user. This feature makes accessing written information easier for blind individuals. These technologies are advancing and continuously improving and developing to provide a better experience for blind people.

The text mining algorithm in the Ava smart bag for the blind includes a set of steps and natural language processing techniques. The text mining algorithm in the Ava smart bag for the blind, using advanced NLP and machine learning techniques, allows users to effectively interact with the texts present in their environment and benefit from written information. Speech language processing is one of the important aspects of the smart bag for the blind, enabling users to interact with the device and issue commands verbally. NLP allows the smart bag to understand user requests, such as asking for a specific location or obtaining information about an object.

Text-to-speech is a technique used to generate synthetic voice and read texts. Integrating speech language processing in the smart bag for the blind allows users to easily interact with the device and utilize its capabilities without the need for complex tactile or visual inputs.

The aim of our article is to examine the phenomenon of utilizing the Internet of Things and smart systems in the healthcare industry in a developing country to identify barriers and how this industry is striving to overcome these obstacles. For this research, we have chosen a qualitative research approach and a systematic mixed-methods strategy as our research strategy, which will help us reduce the findings of this phenomenon through an iterative process. The first part of the empirical findings was analyzed using thematic analysis tools that we employed for our data analysis. They were facilitated by experts who initiated a well-structured organizational framework through rigorous training for core staff and inspirational leadership to ease the implementation process.

The long-term application of the Internet of Things can provide numerous benefits for any organization. Our thesis examines the potential barriers to the application of the Internet of Things in the healthcare industry and the strategies adopted to overcome these challenges in the context of a developing country.

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