Abstract: In some implementations, a disclosed method may include receiving, from a wearable, data representative of a gesture executed by a wearer of the wearable, and recognizing, based on the data representative of the gesture, the gesture executed by the wearer. The disclosed method may also include identifying, based on the data representative of the gesture, the wearer via a machine learning model trained to identify biomechanical characteristics of wearers based on gesture data. The disclosed method may also include executing, based on the gesture executed by the wearer and identifying of the wearer, a security action directed to a secured device. Various other systems, methods, and computer-readable media are also disclosed.

Abstract: Disclosed are systems and methods that via the disclosed functionality, can involve receiving, from a wearable included in a controlled network, data representative of a gesture executed by a wearer of the wearable. The systems and methods may additionally include recognizing, based on the data representative of the gesture, the gesture executed by the wearer. The system and method may also include identifying, via at least one location sensor, a physical location of the wearer. The system and method may also include directing, based on the gesture executed by the wearer and the physical location of the wearer, a management device included in the controlled network to execute a management action. Various other systems, methods, and computer-readable media are also disclosed.

Abstract: System and methods include determining a person's physical location based on analyzing Wi-Fi signal data received from a multiple Wi-Fi access point system as part of a distributed Wi-Fi system; and controlling smart devices based on one or more of predetermined settings, machine learned settings, and the person's physical location. The steps can further include determining the person's physical location based on analyzing Wi-Fi client devices that are mobile in the distributed Wi-Fi system.