Helmets Sense The Hard Knocks [News]

  title={Helmets Sense The Hard Knocks [News]},
  author={Willie D. Jones},
  journal={IEEE Spectrum},
  • W. Jones
  • Published 1 October 2007
  • Education
  • IEEE Spectrum
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. 
A Hardware-Assisted Energy-Efficient Processing Model for Activity Recognition Using Wearables
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
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
  • Hassan Ghasemzadeh, R. Jafari
  • Computer Science
    2010 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.