Prototyping a Gesture-Controlled Smart Home Assistant - an IoT Integration Approach
The rise of IoT has revolutionized appliance management, but current voice-controlled systems face limitations in noisy environments and for individuals with hearing or speech impairments. Additionally, integrating different connectivity methods for various appliances remains a challenge. This paper presents a gesture-controlled smart home assistant designed to address these issues. By integrating MQTT, HTTP and Bluetooth protocols, the system offers flexible control of diverse smart home devices. Utilizing a Raspberry Pi 4B with OpenCV and MediaPipe for gesture recognition can increase accessibility for individuals with hearing or speech impairments. Experimental results validate its effectiveness in accurately recognizing gestures and managing appliances, improving user interaction with smart home technologies in varied environments.
Authors
- Derek S. Hernandez (ORCID: https://orcid.org/0000-0002-0290-2855)
- Chin‐Kun Hu (ORCID: https://orcid.org/0000-0002-3620-8319)
- Yu‐Kuen Lai (ORCID: https://orcid.org/0000-0002-7064-523X)
- Chun-Hung Wu (ORCID: https://orcid.org/0000-0002-8714-7501)
- Wan-Ju Tu
Institutions
- Chung Yuan Christian University (TW)
Publication Details
- Published
- 2024-11-14
- DOI
- https://doi.org/10.1109/incit63192.2024.10810656
- Primary Topic
- Hand Gesture Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00