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DATE
2010
IEEE
188views Hardware» more  DATE 2010»
13 years 10 months ago
Power-accuracy tradeoffs in human activity transition detection
— Wearable, mobile computing platforms are envisioned to be used in out-patient monitoring and care. These systems continuously perform signal filtering, transformations, and cla...
Jeffrey Boyd, Hari Sundaram, Aviral Shrivastava
ICMCS
2009
IEEE
115views Multimedia» more  ICMCS 2009»
13 years 3 months ago
A framework to detect and classify activity transitions in low-power applications
Minimizing the number of computations a low-power device makes is important to achieve long battery life. In this paper we present a framework for a low-power device to minimize t...
Jeffrey Boyd, Hari Sundaram
ICIP
2006
IEEE
14 years 6 months ago
Summarization and Indexing of Human Activity Sequences
In order to summarize a video consisting of a sequence of different activities, there are three fundamental problems: tracking the objects of interest, detecting the activity chan...
Bi Song, Namrata Vaswani, Amit K. Roy Chowdhury
ICCV
2011
IEEE
12 years 5 months ago
Learning Spatiotemporal Graphs of Human Activities
Complex human activities occurring in videos can be defined in terms of temporal configurations of primitive actions. Prior work typically hand-picks the primitives, their total...
William Brendel, Sinisa Todorovic
TKDE
2008
134views more  TKDE 2008»
13 years 5 months ago
Sensor-Based Abnormal Human-Activity Detection
With the availability of affordable sensors and sensor networks, sensor-based human-activity recognition has attracted much attention in artificial intelligence and ubiquitous comp...
Jie Yin, Qiang Yang, Jeffrey Junfeng Pan