Let wearable devices work without batteries
Modern computing devices are powerful and compact and can be easily worn on the body. However, batteries have become a major obstacle to design and user experience, increasing the weight and size of the device, and requiring regular charging and removal of the device.
To solve these problems, researchers at Carnegie Mellon University have proposed “skin-powered” technology that transfers energy through the body.
Powerful computing devices are now small enough to be easily worn on your body. However, batteries pose a major design and user experience hurdle, add weight and bulk, and often require regular disassembly and charging of the equipment.
To this end,”skin-powered” was developed, a method that uses the human body itself to power many distributed, battery-less, wearable devices.
Demonstrates power transmission from body distance to head to feet, and has enough energy to power a microcontroller capable of sensing and wireless communication.
Share the results of a research activity that informed our implementation, as well as experiments to verify the final system.
Finally, several demonstration devices are provided, from input controllers to longitudinal biosensors, that highlight the efficacy and potential of our method.
Original text:https://dl.acm.org/doi/10.1145/3654777.3676394
Final Cut Pro 11 brings new video editing capabilities,
Including spatial video editing and intelligent AI-based tools
Apple has introduced Final Cut Pro 11, introducing new features such as magnetic masks, transcriptions to subtitles, and supporting spatial video editing. The update leverages the full performance of Apple chips, providing AI-based tools such as Smart Conform, optimizing light and color, and spatial video support exported to Apple Vision Pro. Final Cut Pro 2.1 and Final Cut Camera 1.1 for iPad have also been updated to enhance the touch experience and professional recording capabilities.
Original text:https://www.apple.com.cn/newsroom/2024/11/final-cut-pro-11-begins-a-new-chapter-for-video-editing-on-mac/
A junior’s project: Kaka Subtitle Assistant
VideoCaptioner -LLM-based smart subtitle assistant, high-quality subtitle video synthesis without requiring GPU! Support the entire process of generation, sentence segmentation, optimization, and translation. Make video subtitle production simple and efficient!
https://github.com/WEIFENG2333/VideoCaptioner
The links mentioned in the video are in the description column below,
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