Sensor-enabled Activity Class Recognition in Preschoolers
نویسندگان
چکیده
منابع مشابه
Distributed Activity Recognition with Fuzzy-Enabled Wireless Sensor Networks
Wireless sensor nodes can act as distributed detectors for recognizing activities online, with the final goal of assisting the users in their working environment. We propose an activity recognition architecture based on fuzzy logic, through which multiple nodes collaborate to produce a reliable recognition result from unreliable sensor data. As an extension to the regular fuzzy inference, we in...
متن کاملA Sensor-Based Scheme for Activity Recognition in Smart Homes using Dempster-Shafer Theory of Evidence
This paper proposes a scheme for activity recognition in sensor based smart homes using Dempster-Shafer theory of evidence. In this work, opinion owners and their belief masses are constructed from sensors and employed in a single-layered inference architecture. The belief masses are calculated using beta probability distribution function. The frames of opinion owners are derived automatically ...
متن کاملActivity Recognition using Actigraph Sensor
Numerous accelerometers are being extensively used in the recognition of simple ambulatory activities. Using wearable sensors for activity recognition is the latest topic of interest in smart home research. We use an Actigraph watch with an embedded accelerometer sensor to recognize real-life activities done in a home. Real-life activities include the set of Activities of Daily Living (ADL). AD...
متن کاملActivity Recognition in Opportunistic Sensor Environments
Activity Recognition in Opportunistic Sensor Environments aniel Roggen 1, Alberto Calatroni 1, Kilian Förster 1, Gerhard Tröster 1, Paul Lukowicz 2, David Bannach 2, Alois Ferscha 3, Marc Kurz 3, Gerold Hölzl 3, Hesam Sagha 4, Hamidreza Bayati 4, José del R. Millán 4, Ricardo Chavarriaga 4 a Wearable Computing Laboratory, ETH Zurich b Embedded Systems Laboratory, University of Passau c Institut...
متن کاملActivity Recognition in a Dense Sensor Network
A dense sensor network consisting of passive infrared motion detectors was developed and used to record human activity in hallways and rooms in a large campus building. Algorithms were developed that: (a) automatically determine the topology of the network from the sensor data, so that manual mapping is not required, (b) automatically learn patterns of sensor readings in local spatial and tempo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Medicine & Science in Sports & Exercise
سال: 2018
ISSN: 0195-9131
DOI: 10.1249/mss.0000000000001460