Sciweavers

16 search results - page 1 / 4
» Power-accuracy tradeoffs in human activity transition detect...
Sort
View
76
Voted
DATE
2010
IEEE
188views Hardware» more  DATE 2010»
15 years 3 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»
14 years 8 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
79
Voted
ICIP
2006
IEEE
15 years 12 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
141
Voted
ICCV
2011
IEEE
13 years 10 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»
14 years 10 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