Adaptive data transfer using bluetooth

TL;DR: In this paper, a system for detecting the flow of blood in vasculature by illuminating the blood with a source of coherent illumination and detecting one or more time-varying properties of a light speckle pattern that results from the scattering of the coherent illumination by tissue and blood.

TL;DR: In this paper, a Bluetooth communication method and device, a storage medium and terminal equipment, is described, and a Bluetooth control instruction is obtained; obtaining a conversion value output by the output pin according to the Bluetooth control instructions; determining a target Bluetooth receiver from the at least two Bluetooth receivers according to conversion value; controlling the target Bluetooth receivers to enter a working mode; the target receiver is used for Bluetooth communication, so that the memory resources of the terminal are greatly saved, the system monitoring burden is reduced, the Bluetooth effect is good, and the practicability is high.

TL;DR: In this paper, a system is presented providing content to a plurality of handheld devices (including musical selections), including musical selections, which can access a server over the Internet via a WIFI or other similar wireless interconnection and can download songs requested by a user from the server or from other users using, e.g., a P2P protocol.

TL;DR: In this article, a monitoring system includes one or more wireless nodes forming a wireless mesh network, a user activity sensor including a WSN transceiver adapted to communicate with the one or multiple wireless nodes using the wireless mesh networks, and a digital monitoring agent coupled to the wireless transceiver through the WSN to request assistance from a third party based on the user activity sensors.

TL;DR: In this article, a heart monitoring system for a person includes one or more wireless nodes; and a wearable appliance in communication with the one or multiple wireless nodes, the appliance monitoring vital signs.

TL;DR: Methods used for classification of everyday activities like walking, running, and cycling are described to find out how to recognize activities, which sensors are useful and what kind of signal processing and classification is required.