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

=Method And Apparatus For Audio Playback=


==Organization Name==

[[:Category:Anhui Huami Technology Co., Ltd.|Anhui Huami Technology Co., Ltd.]]


[[Category:Anhui Huami Technology Co., Ltd.]]

==Inventor(s)==

[[:Category:Wang Huang of Hefei (CN)|Wang Huang of Hefei (CN)]][[Category:Wang Huang of Hefei (CN)]]

[[:Category:Kongqiao Wang of Hefei (CN)|Kongqiao Wang of Hefei (CN)]][[Category:Kongqiao Wang of Hefei (CN)]]

[[:Category:Jinian Yan of Hefei (CN)|Jinian Yan of Hefei (CN)]][[Category:Jinian Yan of Hefei (CN)]]

[[:Category:Guokang Zhu of Hefei (CN)|Guokang Zhu of Hefei (CN)]][[Category:Guokang Zhu of Hefei (CN)]]

[[:Category:Zi Meng of Hefei (CN)|Zi Meng of Hefei (CN)]][[Category:Zi Meng of Hefei (CN)]]

[[:Category:Cong Zhang of Hefei (CN)|Cong Zhang of Hefei (CN)]][[Category:Cong Zhang of Hefei (CN)]]

[[:Category:Yi Yu of Hefei (CN)|Yi Yu of Hefei (CN)]][[Category: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.



[[Category:G16H20/30]]
[[Category:A61B5/00]]
[[Category:A61B5/0205]]
[[Category:A61B5/021]]
[[Category:A61B5/024]]
[[Category:A61B5/08]]
[[Category:A61B5/11]]
[[Category:A61B5/16]]
[[Category:G16H10/60]]
[[Category:G16H20/70]]
[[Category:CPC_G16H20/30]]