search.noResults

search.searching

dataCollection.invalidEmail
note.createNoteMessage

search.noResults

search.searching

orderForm.title

orderForm.productCode
orderForm.description
orderForm.quantity
orderForm.itemPrice
orderForm.price
orderForm.totalPrice
orderForm.deliveryDetails.billingAddress
orderForm.deliveryDetails.deliveryAddress
orderForm.noItems
THE FUTURE OF WEARABLE TECH


Department of Agriculture’s Belts- ville, MD, Human Nutrition Research Center, USARIEM’s Dr. Mark Buller tested the use of RT-PSM and novel algorithms to provide continuous pac- ing guidance to individuals who were tasked with completing a five-mile run within one hour under thermally chal- lenging conditions. Tey were to pace themselves to complete the mission on time but not overheat, and to arrive as cool and physically capable as possible.


+


HOT DOG DATA A military working dog wears RT-PSM chest sen- sors and a collar-worn acoustic sensor to detect panting frequency. A rising core temperature in a dog is not, by itself, a reliable predictor of impending heat injury, as with humans, and the susceptibility to performance degradation in the heat may be quite different between sweating humans and panting dogs. (Photo by Anthony Karis, USARIEM)


low thermal work strains and could be further challenged, wanted to use the information to push trainees harder than they would have without the monitoring. Tis demonstrates the kind of innovation that comes from the end users themselves during iterative field testing,


Te pacing feedback supplied by Buller significantly improved their performance in comparison to a separate trial in which each individual used his or her own pac- ing strategy.


Tis approach could be used to train optimal movement strategies and guide redistribution of


An alternate approach to directly moni- toring individual physiological responses is to use rational mathematical models to predict Soldier limits. Well-validated USARIEM thermal models can pro- vide mission planning guidance and generalized predictions but are not intended for real-time use and will not precisely predict individual responses. A special exception is the USARIEM Prob- ability of Survival Decision Aid used by U.S. Coast Guard Search and Rescue (https://www.uscg.mil/announcements/ ALCOAST/325-10_alcoast.txt).


the workload among


individuals in a team. Te route planning and pacing algorithms are also excellent candidates for integration into the U.S. Army Geospatial Center route-planning tools under development.


Robert A. Heinlein captured the imagi- nation of many when he described a wearable physiological status moni- tor on every soldier in his sci-fi novel


suggest-


ing, in this case, a “precision medicine” application of RT-PSM to more effec- tively train each individual according to his or her current level of fitness and acclimatization.


A MORE CAPABLE SOLDIER Information from RT-PSM can also be used in mission planning and route finding. In collaboration with the U.S.


72 Army AL&T Magazine January-March 2016


“Starship Troopers.” Today, that is as quaint as the old Tom Swift books that imagined a day when spaceships might land on the moon. Although the cur- rent, affordable wrist-worn technologies have already far surpassed Heinlein’s vision, the Army’s interest centers on chest-based sensors. Current wrist- and arm-based sensors are power-hungry, largely proprietary and prone to motion artifacts;


use militarily unacceptable


modes of wireless communication; and cannot provide information obtained from the chest, such as respiration rates and body position.


Key targets beyond thermal-work strain include assessments of hydration state, readiness and alertness, and musculoskel- etal fatigue and strain. Tese may include unobtrusive sensors to monitor water con- sumption and loss; goggles that monitor eye responses; communication systems that also measure voice changes, speech content and breath chemistry; skin sen- sors that assess stress and alertness; and sensors to monitor extremity tempera- tures to protect and sustain performance in cold weather. Simple helmet or boot sensors could detect ground impact forces and lower extremity patterns of movement that can provide useful infor- mation about impending injury, fatigue and even behavioral changes.


CONCLUSION USARIEM and Lincoln Laboratory have a longer- range plan to combine physi- ological monitoring with outward-looking detectors to trigger threat alarms that allow Soldiers to don protective ensembles. Even military working dogs may ben- efit from current work to develop thermal work-strain monitors based on collar- worn acoustic sensor


systems analyzing


panting patterns. Miniature, possibly implantable, body-heat powered sensors will be even better and are around the cor- ner, leveraged in part by Small Business


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44  |  Page 45  |  Page 46  |  Page 47  |  Page 48  |  Page 49  |  Page 50  |  Page 51  |  Page 52  |  Page 53  |  Page 54  |  Page 55  |  Page 56  |  Page 57  |  Page 58  |  Page 59  |  Page 60  |  Page 61  |  Page 62  |  Page 63  |  Page 64  |  Page 65  |  Page 66  |  Page 67  |  Page 68  |  Page 69  |  Page 70  |  Page 71  |  Page 72  |  Page 73  |  Page 74  |  Page 75  |  Page 76  |  Page 77  |  Page 78  |  Page 79  |  Page 80  |  Page 81  |  Page 82  |  Page 83  |  Page 84  |  Page 85  |  Page 86  |  Page 87  |  Page 88  |  Page 89  |  Page 90  |  Page 91  |  Page 92  |  Page 93  |  Page 94  |  Page 95  |  Page 96  |  Page 97  |  Page 98  |  Page 99  |  Page 100  |  Page 101  |  Page 102  |  Page 103  |  Page 104  |  Page 105  |  Page 106  |  Page 107  |  Page 108  |  Page 109  |  Page 110  |  Page 111  |  Page 112  |  Page 113  |  Page 114  |  Page 115  |  Page 116  |  Page 117  |  Page 118  |  Page 119  |  Page 120  |  Page 121  |  Page 122  |  Page 123  |  Page 124  |  Page 125  |  Page 126  |  Page 127  |  Page 128  |  Page 129  |  Page 130  |  Page 131  |  Page 132  |  Page 133  |  Page 134  |  Page 135  |  Page 136  |  Page 137  |  Page 138  |  Page 139  |  Page 140  |  Page 141  |  Page 142  |  Page 143  |  Page 144  |  Page 145  |  Page 146  |  Page 147  |  Page 148  |  Page 149  |  Page 150  |  Page 151  |  Page 152  |  Page 153  |  Page 154  |  Page 155  |  Page 156  |  Page 157  |  Page 158  |  Page 159  |  Page 160  |  Page 161  |  Page 162  |  Page 163  |  Page 164  |  Page 165  |  Page 166  |  Page 167  |  Page 168  |  Page 169  |  Page 170  |  Page 171  |  Page 172