In the News

• Weiss, Gary M. "Your Smartphone Knows You Better Than You Know Yourself." Inside Science Minds. 4 Jan. 2013. Inside Science

• Hill, Kashmir. "How A Smartphone App Can Detect How Fit (Or Fat) You Are." Tech. 2 Feb. 2012. Forbes

In Progress

• Gary M. Weiss, Jeffrey W. Lockhart, Tony T. Pulickal, Paul T. McHugh, Isaac H. Ronan, Jessica L. Timko, Actitracker: A Smartphone-based Activity Recognition System for Improving Health and Well-Being, (Working Paper.)

Journal, Conference, and Workshop Papers

1. Jeffrey W. Lockhart, Gary M. Weiss (2014). Limitations with Activity Recognition Methodology & Data Sets, Proceedings of the 2014 ACM Conference on Ubiquitous Computing (UBICOMP) Adjunct Publication (2nd International Workshop on Human Activity Sensing Corpus and its Application), Seattle, WA


2. Jeffrey W. Lockhart (2014).The Benefits of Personalized Data Mining Approaches to Human Activity Recognition with Smartphone Sensor Data Masters Thesis


3. Jeffrey W. Lockhart, Gary M. Weiss (2014). The Benefits of Personalized Smartphone-Based Activity Recognition Models, In Proc. SIAM International Conference on Data Mining, Society for Industrial and Applied Mathematics, Philadelphia, PA, 614-622.


4. Gary M. Weiss, Ashwin Nathan, JB Kropp, and Jeffrey W. Lockhart (2013). WagTag™: A Dog Collar Accessory for Monitoring Canine Activity Levels, Proceedings of the ACM UbiComp International Atelier on Smart Garments and Accessories, Zurich, Switzerland.


5. Gary M. Weiss, Jeffrey W. Lockhart (2012). A Comparison of Alternative Client/Server Architectures for Ubiquitous Mobile Sensor-Based Applications, Proceedings of the 1st International Workshop on Ubiquitous Mobile Instrumentation, Pittsburgh, PA (at UbiComp 2012).


6. Jeffrey W. Lockhart, Tony Pulickal, and Gary M. Weiss (2012). Applications of Mobile Activity Recognition, Proceedings of the ACM UbiComp International Workshop on Situation, Activity, and Goal Awareness, Pittsburgh, PA.


7. Gary M. Weiss and Jeffrey W. Lockhart (2012). The Impact of Personalization on Smartphone-Based Activity Recognition, Proceedings of the AAAI-12 Workshop on Activity Context Representation: Techniques and Languages, Toronto, CA.


8. Jeffrey W. Lockhart, Gary M. Weiss, Jack C. Xue, Shaun T. Gallagher, Andrew B. Grosner, and Tony T. Pulickal (2011). Design Considerations for the WISDM Smart Phone-Based Sensor Mining Architecture, Proceedings of the Fifth International Workshop on Knowledge Discovery from Sensor Data (at KDD-11), San Diego, CA.


9. Gary M. Weiss and Jeffrey W. Lockhart (2011). Identifying User Traits by Mining Smart Phone Accelerometer Data, Proceedings of the Fifth International Workshop on Knowledge Discovery from Sensor Data (at KDD-11), San Diego, CA.


10. Jeff Lockhart (2011). Mobile Sensor Data Mining, Fordham Undergraduate Research Journal, vol. 1, pp 67-68.


11. Jennifer R. Kwapisz, Gary M. Weiss and Samuel A. Moore (2010). Cell Phone-Based Biometric Identification, Proceedings of the IEEE Fourth International Conference on Biometrics: Theory, Applications and Systems (BTAS-10), Washington DC.


12. Jennifer R. Kwapisz, Gary M. Weiss and Samuel A. Moore (2010). Activity Recognition using Cell Phone Accelerometers, ACM SIGKDD Explorations, 12(2):74-82., Washington DC.

M.S. Theses

• Jeffrey W. Lockhart (2014). The Benefits of Personalized Data Mining Approaches to Human Activity Recognition with Smartphone Sensor Data Masters Thesis


• Shaun Gallagher(2014). Smartphone Sesnor Data Mining for Gait Abnormality Detection Masters Thesis