VibroSense
| Autor: | Tuochao Chen, Peng He, Cheng Zhang, Feng Tian, Lucy M. Wang, Matthew Dressa, Wei Sun, Benjamin Steeper, Zhenyu Lei, Jiayi Zheng |
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| Rok vydání: | 2020 |
| Předmět: |
Artificial neural network
Computer Networks and Communications business.industry Computer science Deep learning 020206 networking & telecommunications 020207 software engineering 02 engineering and technology Laser Doppler velocimetry Human-Computer Interaction Vibration Hardware and Architecture Structural vibration 0202 electrical engineering electronic engineering information engineering Ceiling (aeronautics) Computer vision Artificial intelligence Single point business Laser Doppler vibrometer |
| Zdroj: | Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 4:1-28 |
| ISSN: | 2474-9567 |
| DOI: | 10.1145/3411828 |
| Popis: | Smart homes of the future are envisioned to have the ability to recognize many types of home activities such as running a washing machine, flushing the toilet, and using a microwave. In this paper, we present a new sensing technology, VibroSense, which is able to recognize 18 different types of activities throughout a house by observing structural vibration patterns on a wall or ceiling using a laser Doppler vibrometer. The received vibration data is processed and sent to a deep neural network which is trained to distinguish between 18 activities. We conducted a system evaluation, where we collected data of 18 home activities in 5 different houses for 2 days in each house. The results demonstrated that our system can recognize 18 home activities with an average accuracy of up to 96.6%. After re-setup of the device on the second day, the average recognition accuracy decreased to 89.4%. We also conducted follow-up experiments, where we evaluated VibroSense under various scenarios to simulate real-world conditions. These included simulating online recognition, differentiating between specific stages of a device's activity, and testing the effects of shifting the laser's position during re-setup. Based on these results, we discuss the opportunities and challenges of applying VibroSense in real-world applications. |
| Databáze: | OpenAIRE |
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