This is a non-IMPACT record, meaning that access to the data is not
controlled by IMPACT. For access, see the directions below.
Disclaimer:
This Resource is offered and provided outside of the IMPACT mediation framework. IMPACT and the IMPACT Coordination Council/Blackfire Technology, Inc. expressly disclaim all conditions, representations and warranties including but not limited to Resource availability, quality, accuracy, non-infringement, and non-interference. All Resource information and access is controlled by entities and under terms that are external to the IMPACT legal framework.
Disclaimer:
This Resource is offered and provided outside of the IMPACT mediation framework. IMPACT and the IMPACT Coordination Council/Blackfire Technology, Inc. expressly disclaim all conditions, representations and warranties including but not limited to Resource availability, quality, accuracy, non-infringement, and non-interference. All Resource information and access is controlled by entities and under terms that are external to the IMPACT legal framework.
Summary
DS-0962
The Columbia/Kinetic Dataset
External Dataset
External Data Source
Crawdad (Dartmouth)
Unknown
11/29/2007
56 (lowest rank is 56)
Description
200 hours of accelerometer information recorded over 25 days from 5 participants.
To help us better understand the properties of various energy sources and their impact on energy harvesting adaptive algorithms, we collected acceleration traces from different participants. The volunteers were asked to perform normal daily routines while comfortably carrying SparkFun Electronics ADXL345 accelerometer boards. For our long-term studies, we collected over 200 hours of acceleration information in 25 days from 5 participants. The data simulates the natural motions that participants' belongings (keys, phone, or wallet) experience on a daily basis. ; mc3415@columbia.edu
Additional Details
N/A
false
false
columbia, kinetic, 962, dataset, the columbia/kinetic dataset, inferlink corporation, corporation, inferlink, external, external data source, source, participants, 200, hours, accelerometer, days, acceleration, collected, daily, energy, adaptive, harvesting, studies, term, normal, wallet, perform, sparkfun, motions, routines, properties, mc3415, boards, adxl345, belongings, natural, impact, understand, traces, simulates, comfortably, volunteers, basis, phone, electronics, carrying, algorithms, other, sources, keys, experience