LG works together with Korean AI tech startup company Asleep to launch a collection of smart home appliances that serve the main purpose of detecting when users are asleep. It then aims to adjust the appliances accordingly based on the users' needs.
The artificially intelligent technology by Asleep helps users track the four sleeping stages by tracking their breathing sounds and using these devices that have microphones to better understand. This includes smart TVs and smartphones. LG aims to integrate these features into its devices including TVs, air conditioners, washing machines, fridges, and air purifiers. With the information integrated, the appliances are able to turn on and off based on the most optimized settings when a user is asleep or not.
Image Credit: LG
What Makes This Trend Stand Out
- Smart Sleep Technology
- The integration of sleep-tracking features in smart home devices offers disruptive innovation opportunities for the smart home industry.
- AI-assisted Sleeping
- Technology that tracks sleeping stages using AI can revolutionize the sleep industry by providing personalized recommendations based on data insights.
- Sleep-optimized Appliances
- Appliances with sleep-detection features that adjust settings according to user needs provide an opportunity to transform the home appliance industry by offering unprecedented levels of convenience and comfort.
Sectors Adopting This
- Smart Home Technology
- The incorporation of sleep-tracking features in smart home devices is a major opportunity for innovation, offering a new range of features that are perfectly tailored to users' individual needs.
- AI and Iot
- The use of artificial intelligence and the Internet of Things in sleep technology can provide unprecedented data insights into our sleeping patterns and lead to the development of innovative, personalized sleep solutions.
- Home Appliance Industry
- The incorporation of sleep-detection features in home appliances presents a major value proposition, as they can offer increased convenience and ease of use while optimizing user experiences.
