Anhui Huami Technology Co., Ltd. (20240249814). Method And Apparatus For Audio Playback simplified abstract

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Method And Apparatus For Audio Playback

Organization Name

Anhui Huami Technology Co., Ltd.

Inventor(s)

Wang Huang of Hefei (CN)

Kongqiao Wang of Hefei (CN)

Jinian Yan of Hefei (CN)

Guokang Zhu of Hefei (CN)

Zi Meng of Hefei (CN)

Cong Zhang of Hefei (CN)

Yi Yu of Hefei (CN)

Method And Apparatus For Audio Playback - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240249814 titled 'Method And Apparatus For Audio Playback

Simplified Explanation: The patent application describes a method, apparatus, wearable device, and storage medium for audio playback that utilizes machine learning and deep learning technologies. The method involves obtaining vital sign data of a user, predicting vital signs, determining target audio parameters based on the predicted data and user attributes, and obtaining matched target audio data.

  • **Key Features and Innovation:**
   - Utilizes measured vital sign data to predict future vital signs of a user.
   - Determines target audio parameters based on predicted vital signs and user attributes.
   - Obtains matched target audio data for personalized audio playback experience.
  • **Potential Applications:**
   - Personalized audio playback for users based on their vital signs.
   - Health and wellness applications that use vital sign data for audio customization.
   - Intelligent wearables that adapt audio based on user's physiological state.
  • **Problems Solved:**
   - Provides a personalized audio experience based on user's vital signs.
   - Enhances user engagement and satisfaction with audio playback.
   - Integrates machine learning and deep learning for intelligent audio customization.
  • **Benefits:**
   - Improved user experience with tailored audio content.
   - Potential health benefits by adapting audio based on vital signs.
   - Enhanced user satisfaction and engagement with audio playback.
  • **Commercial Applications:**
   - Title: Personalized Audio Playback System for Wearable Devices
   - Potential commercial uses in fitness trackers, smartwatches, and health monitoring devices.
   - Market implications include increased demand for intelligent wearables with personalized audio features.
  • **Prior Art:**
   - Further research can be conducted in the fields of machine learning, deep learning, and intelligent wearables to explore similar technologies.
  • **Frequently Updated Research:**
   - Stay updated on advancements in machine learning algorithms for vital sign prediction.
   - Monitor developments in personalized audio technologies for wearable devices.

Questions about Personalized Audio Playback System for Wearable Devices:

1. *How does the method predict vital signs based on measured data, and what are the implications for personalized audio playback?*

  The method utilizes machine learning algorithms to analyze vital sign data and predict future values, enabling personalized audio content based on the user's physiological state.

2. *What are the potential challenges in implementing personalized audio playback systems in wearable devices, and how can they be addressed?*

  Challenges may include data accuracy, user privacy concerns, and algorithm optimization. These can be addressed through robust data collection methods, privacy protection measures, and continuous algorithm refinement.


Original Abstract Submitted

provided a method, an apparatus, a wearable device and a storage medium for audio playback, and relates to the fields of machine learning, deep learning, intelligent wearable, etc. the method includes: measured vital sign data of a user within a first time range is obtained; a vital sign prediction is performed based on the measured vital sign data within the first time range, to obtain predicted vital sign data of the user within a second time range after the first time range; one or more target audio parameters are determined based on the predicted vital sign data and user attribute information of the user; and matched target audio data is obtained based on the one or more target audio parameters.