Programmable Wrist-Worn Prediction Model and Environmental Stress Monitor

In about two years it will be possible to build a commercially viably wrist worn instrument suitable for WPSM that contains environmental sensors, motion sensing, electronics, and algorithms to predict core temperature, estimate sleep, including sleep in some types of conveyances, calculate sleep derived performance, and detect life signs. Continuous day and nighttime human activity modeling and environmentally driven thermodynamic algorithms embedded in device firmware are the basis for estimating core temperature variability for specific activities. The complementary sciences have been extensively developed by their respective research agencies, and will be realized as practical wrist worn hardware in Phase II. The proposed device will provide the wearer with an estimate of performance and physiological stress and strain throughout the day, and link to important radio networks, such as WPSM and civilian equivalents. The instrument will accomplish this by: 1) Measuring the daily ambient environment, measuring activity, using off wrist constituent data from a body inter or intra-net 2) Continuously estimating sleep and recording sleep history, 3) Applying Physio-Monitor and performance embedded algorithms 4) Displaying the results to the wearer and transmitting information by radio to other resources.