UJIIndoorLoc: A new multi-building and multi-floor database for WLAN fingerprint-based indoor localization problems
Although indoor localization is a key topic for mobile computing, it is still very difficult for the
mobile sensing community to compare state-of-art localization algorithms due to the scarcity …
mobile sensing community to compare state-of-art localization algorithms due to the scarcity …
From big smartphone data to worldwide research: The mobile data challenge
This paper presents an overview of the Mobile Data Challenge (MDC), a large-scale
research initiative aimed at generating innovations around smartphone-based research, as …
research initiative aimed at generating innovations around smartphone-based research, as …
Placer: semantic place labels from diary data
J Krumm, D Rouhana - Proceedings of the 2013 ACM international joint …, 2013 - dl.acm.org
Semantic place labels are labels like" home"," work", and" school" given to geographic
locations where a person spends time. Such labels are important both for giving …
locations where a person spends time. Such labels are important both for giving …
Annotating mobile phone location data with activity purposes using machine learning algorithms
Individual human travel patterns captured by mobile phone data have been quantitatively
characterized by mathematical models, but the underlying activities which initiate the …
characterized by mathematical models, but the underlying activities which initiate the …
Patterns, entropy, and predictability of human mobility and life
Cellular phones are now offering an ubiquitous means for scientists to observe life: how
people act, move and respond to external influences. They can be utilized as measurement …
people act, move and respond to external influences. They can be utilized as measurement …
Placer++: Semantic place labels beyond the visit
J Krumm, D Rouhana… - 2015 IEEE international …, 2015 - ieeexplore.ieee.org
Place labeling is the process of giving semantic labels to locations, such as home, work, and
school. For a particular person, these labels can be computed automatically based on …
school. For a particular person, these labels can be computed automatically based on …
Feature engineering for semantic place prediction
We present in this paper our winning solution to Dedicated Task 1 in Nokia Mobile Data
Challenge (MDC). MDC Task 1 is to infer the semantic category of a place based on the …
Challenge (MDC). MDC Task 1 is to infer the semantic category of a place based on the …
Next place prediction by understanding mobility patterns
As technology to connect people across the world is advancing, there should be
corresponding advancement in taking advantage of data that is generated out of such …
corresponding advancement in taking advantage of data that is generated out of such …
Frequency and recency context for the management and retrieval of personal information on mobile devices
As users store increasingly larger amounts of personal information on their mobiles, the task
of retrieving such items (eg, contacts) becomes more difficult. We show that users can be …
of retrieving such items (eg, contacts) becomes more difficult. We show that users can be …
[PDF][PDF] 智能手机: 普适感知与应用
陈龙彪， **石坚， 潘纲 - 计算机学报, 2015 - cjc.ict.ac.cn
智能手机的感知手段日益丰富, 可感知信息的维度不断增加, 在健康, 医疗, 生活, 交通,
教育和娱乐等领域的应用层出不穷. 该文从智能手机感知的硬件基础, 智能手机可感知的信息和 …
教育和娱乐等领域的应用层出不穷. 该文从智能手机感知的硬件基础, 智能手机可感知的信息和 …