Matthai Philipose

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Tanzeem Khalid Choudhury25
Stephen S. Intille24
Henry A. Kautz24
Emmanuel Munguia Tapia24
Dieter Fox22
33Tao Gu
27Henry A. Kautz
27Zhanqing Wu
27Liang Wang
27Xianping Tao

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Publication Year

1972
2017

Publication Type

Co-author

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Mapping and localization with RFID technology
We analyze whether radio frequency identification (RFID) technology can be used to improve the localization of mobile robots and persons in their environment. In particular we study the problem of localizing RFID tags with a mobile platform that is equipped with a pair of RFID antennas. We present a probabilistic measurement model for RFID readers that… (More)
Inferring activities from interactions with objects
A key aspect of pervasive computing is using computers and sensor networks to effectively and unobtrusively infer users' behavior in their environment. This includes inferring which activity users are performing, how they're performing it, and its current stage. Recognizing and recording activities of daily living is a significant problem in elder care. A… (More)
Fine-Grained Activity Recognition by Aggregating Abstract Object Usage
In this paper we present results related to achieving fine-grained activity recognition for context-aware computing applications. We examine the advantages and challenges of reasoning with globally unique object instances detected by an RFID glove. We present a sequence of increasingly powerful probabilistic graphical models for activity recognition. We… (More)
Energy Scavenging for Inductively Coupled Passive RFID Systems
—Deployment of passive radio-frequency identification (RFID) systems or RFID-enhanced sensor networks requires good understanding of the energy scavenging principles. This paper fo-cuses on the energy scavenging design considerations of inductively coupled passive HF RFID systems. The theoretical estimation of the power by a loop antenna is derived, and the… (More)
Unsupervised Activity Recognition Using Automatically Mined Common Sense
A fundamental difficulty in recognizing human activities is obtaining the labeled data needed to learn models of those activities. Given emerging sensor technology , however, it is possible to view activity data as a stream of natural language terms. Activity models are then mappings from such terms to activity names, and may be extracted from text corpora… (More)
A Long-Term Evaluation of Sensing Modalities for Activity Recognition
We study activity recognition using 104 hours of annotated data collected from a person living in an instrumented home. The home contained over 900 sensor inputs, including wired reed switches, current and water flow inputs, object and person motion detectors, and RFID tags. Our aim was to compare different sensor modalities on data that approached " real… (More)
DyC: an expressive annotation-directed dynamic compiler for C
We present the design of DyC, a dynamic-compilation system for C based on run-time specialization. Directed by a few declarative user annotations that specify the variables and code on which dynamic compilation should take place, a binding-time analysis computes the set of run-time constants at each program point in the annotated procedure's control-flow… (More)
Hands-On RFID: Wireless Wearables for Detecting Use of Objects
Recent research has explored ways to obtain and use knowledge of person-object interactions. We present a novel pair of wearables, a glove and a bracelet, that detect when users interact with unobtrusively tagged objects. The glove can also report whether the grasp was with the palm or the fingertips. Both devices have been built and deployed. We present… (More)
Battery-free wireless identification and sensing
The Wireless Identification and Sensing Platform (WISP) project explores an approach to provide power for sensor networks, based on passive radio-frequency-identification technology. In traditional passive RFID systems, ambient high-power readers interrogate battery-free devices, called tags, that modulate the interrogating signal to communicate a unique… (More)