| C. Karras, A. Karras, G. Drakopoulos, D. Tsolis, Ph. Mylonas, S. Sioutas |
| A LoRa-Based Emotion Estimation Scheme for Smart Home Automated Actions Using ELMs |
| 8th IEEE International Smart Cities Conference 2022, ISC2 2022, 26-29 September 2022, Aliathon Resort, Paphos, Cyprus |
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ABSTRACT
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| Emotion detection is critical in many IoT deployments from an operational perspective with examples ranging from digital health to smart cities. This holds especially true in smart homes where the interaction between the local IoT ecosystem and the inhabitants are continuous, pervasive, and nuanced. In particular emotion estimation from human speech attributes is an integral architectural component of such ecosystems. In this work an emotion estimation scheme from speech built on the emerging LoRa wireless communication technology is described. First, a voice recognition module coupled with a transmitter are installed in a car. Then, depending on the estimation outcome, the smart home may undertake one or more preemptive actions according to its configuration as the car passenger approaches. The prototype LoRa system has been tested with the standard TESS dataset with encouraging results as expressed in the emotion confusion matrix obtained from a extreme learning machine with various kernels. The above pave the way for adaptive smart homes tailored to the needs of their inhabitants.
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| 26 September, 2022 |
| C. Karras, A. Karras, G. Drakopoulos, D. Tsolis, Ph. Mylonas, S. Sioutas, "A LoRa-Based Emotion Estimation Scheme for Smart Home Automated Actions Using ELMs", 8th IEEE International Smart Cities Conference 2022, ISC2 2022, 26-29 September 2022, Aliathon Resort, Paphos, Cyprus |
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