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Paper ID:IJSREM65099

Next-Generation Hearing Aid with Integrated Real-Time Fall Detection and Emergency Response

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM65099

Volume:

10 |

6 |

Jun 2026

Pages:

1-7

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM65099

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

BSD

Bhuvana Suganthi D

Dept. Of ECE

BNM Institute of Technology Bangalore, India

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ASP

Arun S P

Dept. Of ECE

BNM Institute of Technology Bangalore, India

DV

Dilip V

Dept. Of ECE

BNM Institute of Technology Bangalore, India

MR

Manikanta R

Dept. Of ECE

BNM Institute of Technology Bangalore, India

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Full ArticlesAcceptance Certificate

Abstract

Falls are one of the most common and dangerous incidents affecting elderly individuals, often leading to serious injuries, loss of independence, or even death. Hearing-impaired users are particularly vulnerable, as balance and spatial awareness are closely linked to auditory perception. Traditional hearing aids address only the hearing challenges, leaving users unprotected from physical hazards such as falls. To enhance personal safety, this study proposes the integration of a real- time fall detection system within a modern hearing aid device.The proposed system combines standard hearing aid components with miniature sensors such as accelerometers and gyroscopes to monitor body motion and orientation. A microcontroller processes the continuous sensor data using advanced algorithms to detect sudden movements or posture changes indicative of a fall. When a fall is detected, the system automatically transmits an alert message to caregivers or emergency services through wireless communication channels like Bluetooth or GSM. The embedded processing ensures low power consumption and rapid response without compromising the hearing aid’s core functionality.

KEYWORDS

BluetoothLowEnergy AssistiveDevices AlertSystem Environmental Monitoring SafetyFeatures WearableTechnology InternetofThings.

Cite This Article

Bhuvana Suganthi D, Arun S P, Dilip V, Manikanta R, "Next-Generation Hearing Aid with Integrated Real-Time Fall Detection and Emergency Response," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 6, pp. 1-7, Jun 2026. https://doi.org/10.55041/IJSREM65099

Full Article/Conclusion

The preceding analysis has comprehensively explored the core advantages of the proposed system, demonstrating its capacity to fundamentally redefine efficiency, data integrity, and strategic foresight across an organization. By integrating modern automation techniques, the system moves past incremental improvements to offer a transformational shift, allowing labor resources to be reallocated from repetitive administrative duties to critical, high-value tasks that directly impact growth and innovation. Furthermore, the enhanced security protocols and centralized data architecture not only mitigate major operational risks but also establish a foundation of reliability and trust essential for both regulatory compliance  and  strong  stakeholder  relationships.      This synthesis confirms that the system is not merely an expense, but a strategic investment that maximizes organizational output The significance of these findings extends far beyond internal metrics, positioning the adopting entity as a leader in market responsiveness and client service. By leveraging the system's ability to process real-time data into actionable intelligence, decision-makers can navigate complex market dynamics with unprecedented speed and accuracy, turning predictive data into a key competitive differentiator. In an economy increasingly defined by rapid change, the inherent scalability and future-proofing of this modern architecture guarantee sustained relevance, ensuring the organization can seamlessly absorb growth and integrate future technological advances without disruptive overhauls, thereby solidifying its long- term viability. However, a complete assessment requires acknowledging that no system is without its challenges or unplumbed depths. The transition phase itself presents certain limitations, particularly concerning the initial investment in training personnel and migrating legacy data, which require meticulous planning to minimize organizational friction. These challenges, while manageable, open up critical avenues for future research, including developing more adaptive, self- learning integration modules and studying the long-term cultural impact of automation on employee roles and satisfaction. Such continued investigation will be necessary to fully optimize the symbiotic relationship between advanced technology and human capital. In conclusion, the proposed system represents a crucial pivot point, moving the organization from a reactive maintenance model to a proactive, insight-driven strategy. The cumulative effect of increased efficiency, fortified security, and predictive capability is the creation of a resilient and agile enterprise uniquely equipped to thrive in the complex landscape of tomorrow. Ultimately, success will be measured not just by the immediate cost savings or productivity spikes, but by the organization's newfound capacity to anticipate change and leverage technological momentum a testament to the enduring power of well-conceived innovation to shape a definitive and successful future.

References

[1]. J. S. Yang, D. J. Kim, and H. S. Lee, "Design and Implementation of a Smart Home Safety System Using BLE Beacons and IoT," 2023 International Conference on Information and Communication Technology Convergence (ICTC), 2023. [2]. M. M. Rahman, M. M. Hossain, and A. Al-Mumin, "A Low- Cost Wearable Assistive Device for Fall Detection Using Accelerometer and BLE," IEEE Sensors Journal, 2021 [3]. S. R. Kim and B. H. Park, "Ambient Assisted Living System Based on Multi-Sensor Fusion and BLE Communication," Journal of Biomedical Informatics, 2020. [4]. A. H. Al-Masri and K. A. Al-Haj, "Development of a BLE Mesh Network for Real-Time Environmental Monitoring in Smart Buildings," 2022 7th International Conference on Smart Grid and Internet of Things (SGIoT), 2022. [5]. C. Wang, Y. Li, and Z. Chen, "Power-Efficient Localization for Assistive Navigation in Indoor Environments Using BLE Fingerprinting," IEEE Internet of Things Journal, 2023. [6]. P. G. M. D. Silva and A. C. T. A. Silva, "Hazard Alert System for Visually Impaired Persons via Haptic Feedback and BLE Proximity Sensing," Sensors (Basel), 2021.   [7]. D. E. Kim, S. W. Moon, and H. J. Seo, "Implementation of a Personal Safety System for the Elderly Using a BLE- Enabled Wearable Device," International Journal of Computer Science and Network Security (IJCSNS), 2022.   [8]. L. F. Zhao and X. Y. Tan, "Analysis of Low-Power Communication Protocols for Assisted Living Technologies: Focus on BLE 5.0," Future Generation Computer Systems, 2020.   [9]. R. Kumar, S. K. Singh, and A. Sharma, "BLE-Based Indoor Positioning for Wheelchair Navigation with Obstacle Avoidance," 2023 International Conference on Communication, Computing and Internet of Things (ICCCIOT), 2023.   [10]. G. H. Lee, J. M. Park, and S. Y. Choi, "Design of a Gas Leakage and Fire Alert System Using BLE 5.0 and Cloud Integration," Journal of Electrical Engineering & Technology, 2021.

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Publication Date

6/17/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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