Helmets Sense The Hard Knocks [News]
@article{Jones2007HelmetsST, title={Helmets Sense The Hard Knocks [News]}, author={Willie D. Jones}, journal={IEEE Spectrum}, year={2007}, volume={44}, pages={10-12} }
The paper presents a device installed in a football player's helmet, which measures each blow to the head and reports the force of the impact. The wireless device let coaches pull football players before they suffer brain damage.
3 Citations
A Hardware-Assisted Energy-Efficient Processing Model for Activity Recognition Using Wearables
- Computer ScienceTODE
- 2016
This article proposes an ultra-low-power granular decision-making architecture, also called screening classifier, which can be viewed as a tiered wake-up circuitry, consuming three orders of magnitude-less power than the state-of-the-art low-power microcontrollers.
An Ultra Low Power Granular Decision Making Using Cross Correlation: Minimizing Signal Segments for Template Matching
- Computer Science2011 IEEE/ACM Second International Conference on Cyber-Physical Systems
- 2011
This paper proposes an ultra low power granular decision making architecture, also called screening classifier, that can be viewed as a tiered wake up circuitry that improves the accuracy of classification by dividing a full template into smaller bins, called mini-templates, and activating optimal number of bins during each classification decision.
Data Aggregation in Body Sensor Networks: A Power Optimization Technique for Collaborative Signal Processing
- Computer Science2010 7th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON)
- 2010
A novel data-centering routing model to minimize communication energy, taking collaborative nature of signal processing for healthcare applications into consideration is introduced, showing an average of 35% energy saving with the proposed routing against a simple shortest path approach.