2009 IEEE International Conference on Rehabilitation Robotics 2009
DOI: 10.1109/icorr.2009.5209471
|View full text |Cite
|
Sign up to set email alerts
|

A first step toward a pervasive and smart ZigBee sensor system for assistance and rehabilitation

Abstract: This paper shows the general concept and the primary implementation of a pervasive intelligent system for rehabilitation. The scope of this work is to highlight the possibility to join two important research fields, i.e. rehabilitation and ambient assisted living, to enhance the capabilities and independence of disable and aged people. The described system was composed of a ZigBee network, with coordinator, sensor and actuator nodes, able to identify and control patient's activities and send warning to caregiv… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
7
0

Year Published

2010
2010
2021
2021

Publication Types

Select...
5
2
2

Relationship

0
9

Authors

Journals

citations
Cited by 14 publications
(7 citation statements)
references
References 17 publications
0
7
0
Order By: Relevance
“…The authors in (Cavallo et al, 2009) describe the implementation of a pervasive intelligent system for rehabilitation, composed of a ZigBee network, with a coordinator and actuator nodes able to identify and control the patient's activities, and send warnings to a caregiver.…”
Section: Related Workmentioning
confidence: 99%
“…The authors in (Cavallo et al, 2009) describe the implementation of a pervasive intelligent system for rehabilitation, composed of a ZigBee network, with a coordinator and actuator nodes able to identify and control the patient's activities, and send warnings to a caregiver.…”
Section: Related Workmentioning
confidence: 99%
“…Some IEEE 802.15.4 sensors can be used to monitor the state of the doors and windows, to follow the light conditions on a specific room or place, to detect water leak, the CO 2 level. A consensus arises in many Ambiant Intelligent platform in favor of EIB/KNX and IEEE802.15.4 [13], [14], [15].…”
Section: A Environment Monitoring and Controlmentioning
confidence: 99%
“…While clinical testing has been undertaken with other automated rehabilitation tools, such as rehabilitation robots [6], [7], [8] and IMU systems for the analysis of gait [9], [10], specific assessment exercises [11], or fall detection [12], to the authors' knowledge, no joint angle recovery method suitable for arbitrary motion has yet been tested on rehabilitation patients. This paper evaluates the performance of a joint estimation algorithm that utilizes strap-on IMU sensors in a clinical rehabilitation setting.…”
Section: Introductionmentioning
confidence: 99%