<p>➀ Wi-Fi Sensing利用现有无线信号(如Wi-Fi)进行室内活动和位置跟踪,无需安装摄像头或可穿戴设备,解决了隐私问题。</p><p>➁ 通过分析通道状态信息(CSI),该技术能够检测运动、识别活动并实现定位,其性能依赖于深度学习模型,但模型参数量大导致部署困难。</p><p>➂ 文章介绍了通过量化和剪枝技术压缩模型的方法,成功将模型部署到边缘设备(如Raspberry Pi 4),显著提升了推理速度。</p>
Related Articles
- How Hims & Hers Health Is Quietly Changing Healthcareabout 18 hours ago
- CEO Interview with Shelly Henry of MooresLabAI1 day ago
- Input latency is the all-too-frequently missing piece of framegen-enhanced gaming performance analysis1 day ago
- ADI eases AI-at-the-edge for Cortex-M42 days ago
- What caught your eye? (Synopsys, AI datacentres, Sodium-ion battery, Deep Space)3 days ago
- Double SoC prototyping performance with S2C’s VP1902-based S8-1005 days ago
- Defence demand drives IR image sensor market to 5% CAGR 2024-304 months ago
- A Synopsys Webinar Detailing IP Requirements for Advanced AI Chips4 months ago
- Micron confirms memory price hikes as AI and data center demand surges4 months ago
- High-Precision Panel-Level Packaging System4 months ago