Detecting Human Movement by Differential Air Pressure Sensing in HVAC System Ductwork: An Exploration in Infrastructure Mediated Sensing

@inproceedings{Patel2008DetectingHM,
  title={Detecting Human Movement by Differential Air Pressure Sensing in HVAC System Ductwork: An Exploration in Infrastructure Mediated Sensing},
  author={Shwetak N. Patel and Matthew S. Reynolds and Gregory D. Abowd},
  booktitle={Pervasive},
  year={2008}
}
We have developed an approach for whole-house gross movement and room transition detection through sensing at only one point in the home. We consider this system to be one member of an important new class of human activity monitoring approaches based on what we call infrastructure mediated sensing, or "home bus snooping." Our solution leverages the existing ductwork infrastructure of central heating, ventilation, and air conditioning (HVAC) systems found in many homes. Disruptions in airflow… 
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A Nonintrusive and Single-Point Infrastructure-Mediated Sensing Approach for Water-Use Activity Recognition
  • Lisha Hu, Yiqiang Chen, Shuangquan Wang, Liping Jia
  • Computer Science
    2013 IEEE 10th International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing
  • 2013
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A single-point infrastructure-mediated sensing technique is proposed for water-use activity recognition using a single 3-axis accelerometer sensor attached to the surface of the main water pipe in the house to detect and collect the vibration signals of themain water pipe.
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References

SHOWING 1-10 OF 50 REFERENCES
Sensing from the basement: a feasibility study of unobtrusive and low-cost home activity recognition
TLDR
A new approach that "reaches into the home" via the existing infrastructure by deploying a small number of low-cost sensors at critical locations in a home's water distribution infrastructure, which can infer activities in the home based on water usage patterns.
At the Flick of a Switch: Detecting and Classifying Unique Electrical Events on the Residential Power Line (Nominated for the Best Paper Award)
TLDR
This work uses machine learning techniques to recognize electrically noisy events such as turning on or off a particular light switch, a television set, or an electric stove and indicates that the system can learn and classify various electrical events with accuracies ranging from 85-90%.
Activity recognition in the home setting using simple and ubiquitous sensors
TLDR
Preliminary results show that it is possible to recognize activities of interest to medical professionals such as toileting, bathing, and grooming with detection accuracies ranging from 25% to 89% depending on the evaluation criteria used, and a new algorithm for recognizing activities that extends the naive Bayes classifier to incorporate low-order temporal relationships was created.
Activity Recognition in the Home Using Simple and Ubiquitous Sensors
TLDR
Preliminary results on a small dataset show that it is possible to recognize activities of interest to medical professionals such as toileting, bathing, and grooming with detection accuracies ranging from 25% to 89% depending on the evaluation criteria used.
The Design of a Portable Kit of Wireless Sensors for Naturalistic Data Collection
TLDR
This paper describes how the MITes kit is being used for acquisition of data in non-laboratory settings where real-time multi-modal sensor information is acquired simultaneously from several sensors worn on the body and up to several hundred sensors distributed in an environment.
Using Sound Source Localization in a Home Environment
TLDR
This paper examines the feasibility of sound source localization (SSL) in a home environment, and explores its potential to support inference of communication activity between people, and provides a quantitative assessment of the accuracy and precision of the system.
Simultaneous Tracking and Activity Recognition (STAR) Using Many Anonymous, Binary Sensors
TLDR
The simultaneous tracking and activity recognition (STAR) problem is introduced, which exploits the synergy between location and activity to provide the information necessary for automatic health monitoring.
Toward Scalable Activity Recognition for Sensor Networks
Sensor networks hold the promise of truly intelligent buildings: buildings that adapt to the behavior of their occupants to improve productivity, efficiency, safety, and security. To be practical,
UbiComp 2007: Ubiquitous Computing, 9th International Conference, UbiComp 2007, Innsbruck, Austria, September 16-19, 2007, Proceedings
A Statistical Reasoning System for Medication Prompting.- Tracking Free-Weight Exercises.- Playful Tray: Adopting Ubicomp and Persuasive Techniques into Play-Based Occupational Therapy for Reducing
Bathroom Activity Monitoring Based on Sound
TLDR
An automated bathroom activity monitoring system based on acoustics designed to recognize and classify major activities occurring within a bathroom based on sound contributes towards increased understanding of personal hygiene behavioral problems that significantly affect both informal care-giving and clinical care of dementia patients.
...
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3
4
5
...