Last Monday, researchers have presented a prototype sensor that measures unique electrical properties of a patient’s body to recognize his identity.
The research work was presented at the 3rd Usenix Workshop of Health Security and Privacy, in Bellevue, Washington.
Read more here: Cornelius C. et al, “Who Wears Me? Bioimpedance as a Passive Biometric“, HealthSec 2012.
| M | T | W | T | F | S | S |
|---|---|---|---|---|---|---|
| « Jan | ||||||
| 1 | 2 | 3 | ||||
| 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| 11 | 12 | 13 | 14 | 15 | 16 | 17 |
| 18 | 19 | 20 | 21 | 22 | 23 | 24 |
| 25 | 26 | 27 | 28 | 29 | 30 | |
Exoskeleton Retinal prosthesis human to human interface Connectomics Graph Theory neuroethics tCS CPG Biometrics Plasticity Trajectories systems-neuroscience music recommendation music neuroscience Deep Learning Interpretability Learnable Filters network neuroscience multiplexing Conferences music perception brain networks modularity community detection brain to brain interface transcranial direct current stimulation music Sparse neurons Noise Deep Brain Stimulation LFP Neural coding TMS Computational Neuroscience Brain-inspired Computing Neuroimaging Wavelets Neuro-inspired Computing neuroprosthetics Bionics Machine Learning neural recordings EEG Information Theory Dimensionality Reduction Modelling Neural Networks Clustering Statistical Analysis Neurophysiology Spike Sorting Brain Research Brain Interfaces
WP Cumulus Flash tag cloud by Roy Tanck requires Flash Player 9 or better.
IEEE Spectrum Biomedical
Neurobot via RSS