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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | AI-BASED WEARABLE DEVICES WITH EMOTION RECOGNITION FOR SAFETY ALONG NATURAL LANGUAGE PROCESSING |
| Authors Name: | Ms. Debosree Ghosh , Anshuman Roy , Rejaul Haque Molla , Arupam Chakraborty |
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IJNRD_204209
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| Published Paper Id: | IJNRD2308327 |
| Published In: | Volume 8 Issue 8, August-2023 |
| DOI: | https://doi.org/10.5281/zenodo.8313987 |
| Abstract: | The way we approach personal safety and security has been completely transformed by the rapid growth of wearable technologies and artificial intelligence (AI).This research offers a thorough analysis of the integration of wearable AI-enhanced devices with emotion recognition capabilities and the application of natural language processing (NLP) methods for the identification of online harassment. The study's goal is to combine various technologies in a comprehensive way to improve safety, promote empowerment, and reduce risks, with a focus on women's security in particular. The first area of investigation in this study is the seamless integration of wearable technologies with AI-driven emotion identification. These wearable technologies are skilled at reading users' physiological responses, facial expressions, and body language thanks to the employment of sophisticated machine learning algorithms and advanced computer vision algorithms. The real-time interpretation of these signals enables the wearable device to discern the user's emotional state, thereby facilitating the identification of distress signals or potential threats. In addition to speeding up emergency response times, this dynamic response mechanism. The second aspect of this study focuses on The second component of this study sets out on a revolutionary path by utilizing NLP approaches for the proactive detection of online abuse. The pandemic of online harassment, which silences their voices and fosters an environment of vulnerability, disproportionately attacks women in this age of pervasive digital communication. With the help of AI, NLP algorithms navigate the complex maze of textual information on many digital platforms. Online platforms can curate safer digital spaces with the help of quick identification and categorization of such content. Striking a judicious equilibrium between technological innovation and ethical responsibility not only augments user confidence but also serves as a beacon for the ethical deployment of transformative solutions. In conclusion, a multidimensional strategy to boosting safety and fostering empowerment is presented by the harmonious convergence of AI-enhanced wearable devices with emotion recognition technology and NLP methodologies for harassment detection.We envision a future where safety transcends passive ideas and becomes an active, dynamic force that influences how people interact with their surrounds, both physical and digital, by using the revolutionary power of AI. As technology advances, this vision will materialize more and more clearly, ushering in a world where inclusivity, empowerment, and safety come together to provide a safe haven for women and all people. |
| Keywords: | AI-enhanced wearable devices, Emotion recognition, Safety,NLP, Harassment detection, Personal safety,Technology,Real-time alerts, Online harassment, Ethical considerations,privacy,Empowerment,Security |
| Cite Article: | "AI-BASED WEARABLE DEVICES WITH EMOTION RECOGNITION FOR SAFETY ALONG NATURAL LANGUAGE PROCESSING ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 8, page no.d100-d106, August-2023, Available :http://www.ijnrd.org/papers/IJNRD2308327.pdf |
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| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2308327 Registration ID: 204209 Published In: Volume 8 Issue 8, August-2023 DOI (Digital Object Identifier): https://doi.org/10.5281/zenodo.8313987 Page No: d100-d106 Country: Kolkata, West Bengal , India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2308327 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2308327 |
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