International Journal of Research and Innovation in Applied Science (IJRIAS)
Edge-Intelligent Multimodal IoT Sensor Fusion for Predictive Health Diagnostics in Smart Built Environments: A Low-Power Embedded System with Adaptive Real-Time Alerting
Published June 13, 2026 • Vol. 11, Issue 5, pp. 2281–2289Open Access
DOI: 10.51584/IJRIAS.2026.11050185
Abstract
This paper presents HealthSense-Edge, an IoT-embedded smart electronics system for non-invasive predictive health monitoring in indoor environments. The system fuses data from five sensor modalities (PIR motion, CO₂, TVOC, temperature/humidity, acoustic) using a heterogeneous dual-core RISC-V + ARM Cortex-M33 platform. A novel 1D Convolutional-LSTM neural network with 8-bit quantization achieves 96.3% accuracy in detecting respiratory distress, fall risk, and dehydration with only 18 ms inference latency and 230 mW average power consumption. An adaptive behavioral alerting mechanism reduces false alarms by 47% compared to fixed-threshold systems. Validated in a 4-month deployment across 12 smart apartments with 24 elderly residents. All code and data are open-sourced.
Keywords: IoT, embedded systems, sensor fusion, edge AI, health monitoring, low-power design, RISC-V.
| Journal | International Journal of Research and Innovation in Applied Science (IJRIAS) |
|---|---|
| ISSN | 2454-6194 |
| Volume / Issue | Volume 11, Issue 5 |
| Pages | 2281–2289 |
| Publication date | June 13, 2026 |
| DOI | 10.51584/IJRIAS.2026.11050185 |
| Publisher | RSIS International |
| License | Open Access |
How to cite this article
Ms. Shruthi Devadhas, Mr. Madhi Madhan. L, Mr. Libonce. A, & Mr. George Sebastian (2026). Edge-Intelligent Multimodal IoT Sensor Fusion for Predictive Health Diagnostics in Smart Built Environments: A Low-Power Embedded System with Adaptive Real-Time Alerting. International Journal of Research and Innovation in Applied Science (IJRIAS), 11(5), 2281-2289. https://doi.org/10.51584/IJRIAS.2026.11050185
BibTeX
@article{Ms2026,
title = {Edge-Intelligent Multimodal IoT Sensor Fusion for Predictive Health Diagnostics in Smart Built Environments: A Low-Power Embedded System with Adaptive Real-Time Alerting},
author = {Ms. Shruthi Devadhas and Mr. Madhi Madhan. L and Mr. Libonce. A and Mr. George Sebastian},
journal = {International Journal of Research and Innovation in Applied Science (IJRIAS)},
volume = {11},
number = {5},
pages = {2281--2289},
year = {2026},
doi = {10.51584/IJRIAS.2026.11050185},
publisher = {RSIS International}
}