Sensor Mania! The Internet of Things, Wearable Computing, Objective Metrics, and the Quantified Self 2.0

@article{Swan2012SensorMT,
  title={Sensor Mania! The Internet of Things, Wearable Computing, Objective Metrics, and the Quantified Self 2.0},
  author={Melanie Swan},
  journal={J. Sens. Actuator Networks},
  year={2012},
  volume={1},
  pages={217-253}
}
  • M. Swan
  • Published 8 November 2012
  • Computer Science
  • J. Sens. Actuator Networks
The number of devices on the Internet exceeded the number of people on the Internet in 2008, and is estimated to reach 50 billion in 2020. A wide-ranging Internet of Things (IOT) ecosystem is emerging to support the process of connecting real-world objects like buildings, roads, household appliances, and human bodies to the Internet via sensors and microprocessor chips that record and transmit data such as sound waves, temperature, movement, and other variables. The explosion in Internet… 
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876 Citations
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References

SHOWING 1-10 OF 96 REFERENCES
Using personal glucose meters and functional DNA sensors to quantify a variety of analytical targets.
TLDR
This work demonstrates a method to use the wide availability and low cost of the pocket-sized personal glucose meter to quantify non-glucose targets, ranging from a recreational drug to an important biological cofactor and a toxic metal ion.
A Stress Sensor Based on Galvanic Skin Response (GSR) Controlled by ZigBee
TLDR
A stress sensor based on Galvanic Skin Response (GSR), and controlled by ZigBee is designed and built, and appreciated that GSR is able to detect the different states of each user with a success rate of 76.56%.
Dynamic energy-consumption indicators for domestic appliances: environment, behaviour and design
A Wearable Sensor for Unobtrusive, Long-Term Assessment of Electrodermal Activity
TLDR
Evidence is presented that the distal forearm is a viable alternative to the traditional palmar sites for EDA measurements, and the choice of electrode material by comparing conductive fabric with Ag/AgCl electrodes is evaluated.
Smartphones Get Emotional: Mind Reading Images and Reconstructing the Neural Sources
TLDR
The ability to distinguish among emotional responses reflected in different scalp potentials when viewing pleasant and unpleasant pictures compared to neutral content is demonstrated.
Building high-level features using large scale unsupervised learning
TLDR
Contrary to what appears to be a widely-held intuition, the experimental results reveal that it is possible to train a face detector without having to label images as containing a face or not.
Health 2050: The Realization of Personalized Medicine through Crowdsourcing, the Quantified Self, and the Participatory Biocitizen
  • M. Swan
  • Medicine, Political Science
    Journal of personalized medicine
  • 2012
TLDR
A vision and plan for the realization of preventive medicine by 2050 is set forth and efforts already underway such as participatory health initiatives, the era of big health data, and qualitative shifts in mindset are examined.
Dormitory residents reduce electricity consumption when exposed to real‐time visual feedback and incentives
TLDR
Assessment of how different resolutions of socio‐technical feedback, combined with incentives, encourage students to conserve resources shows that information feedback can stimulate resource conservation.
The Unreasonable Effectiveness of Data
TLDR
A trillion-word corpus - along with other Web-derived corpora of millions, billions, or trillions of links, videos, images, tables, and user interactions - captures even very rare aspects of human behavior.
Assessment of a multi-assay, serum-based biological diagnostic test for major depressive disorder: a Pilot and Replication Study
TLDR
The results of the present study suggest that this test can differentiate MDD subjects from non-depressed controls with adequate sensitivity and specificity and further research is needed to confirm the performance of the test across various age and ethnic groups, and in different clinical settings.
...
...