In this NeurIPS 2022 demo by Qualcomm AI Research, we showcase teaching your AI digital assistant new gesture commands.
The need for intelligent, personalized experiences powered by AI is ever-growing, such as personalized gesture commands with a digital assistant. Although cloud training can provide this personalization, on-device learning enables it without the need to share personal data and sacrifice privacy. However, teaching these personalized gestures on a mobile device is challenging due to power and compute constraints. To address this, our full-stack AI optimizations included developing an accurate and small gesture recognition model, quantizing the model with AIMET, and utilizing the AI hardware acceleration on Snapdragon. By simultaneously combining a voice command with an arbitrary gesture a few times, the digital assistant learns the new gestures through few-shot on-device learning. We achieve real-time processing at low power while maintaining high accuracy of 95 percent gesture detection.
Read the NeurIPS blog post: https://www.qualcomm.com/news/onq/202...
Visit the Qualcomm AI Research website: https://www.qualcomm.com/research/art...