Extraction of Daily Life Log Measured by Smart Phone Sensors Using Neural Computing

Botzheim, János; Tang, Dalai; Yusuf, Bakhtiar; Obo, Takenori; Kubota, Naoyuki; Yamaguchi, Toru

doi:10.1016/j.procs.2013.09.171

Cited by 12 publications

(3 citation statements)

References 11 publications

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“…A simple spike response model is used in order to reduce the computational cost. In our model the SSN has fuzzy inputs, it is a fuzzy spiking neural network (FSNN) [25][26][27]. Figure 8 illustrates the FSNN model.…”

Section: Fuzzy Spiking Neural Networkmentioning

confidence: 99%

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Supervised Learning-based Multi-Modal Perception for Robot Partners using Smart Phones

Tang¹,

Botzheim²,

Kubota³

2014

ACTA POLYTECH HUNG

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This paper proposes a method for multi-modal perception of human-friendly robot partners based on various types of sensors built in a smart phone. The proposed method can estimate human interaction modes by fuzzy spiking neural network. The learning method of the spiking neural network based on the time series of the measured data is explained as well. Evolution strategy is used for optimizing the parameters of the fuzzy spiking neural network. Several experimental results are presented for confirming the effectiveness of the proposed technique. Finally, the future direction on this research is discussed.

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Section: Fuzzy Spiking Neural Networkmentioning

confidence: 99%

“…Various types of estimation method of human state have been proposed. We applied spiking neural network [24,25] for localizing human position, estimating human transportation mode [26], and learning pattern of daily life of elderly people [27].…”

Section: Introductionmentioning

confidence: 99%

Supervised Learning-based Multi-Modal Perception for Robot Partners using Smart Phones

Tang¹,

Botzheim²,

Kubota³

2014

ACTA POLYTECH HUNG

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“…Therefore, the structured platform of the environment for gathering, storing, transforming, and providing information, which is called informationally structured space [5,6] is needed. The technology for designing and utilizing the informationally structured space should be discussed from various points of view such as the information gathering of real environment and cyber space, the structure of the environment, and the visualization of the gathered information.…”

Section: Informationally Structured Spacementioning

confidence: 99%

Life Log Visualization System Based on Informationally Structured Space for Supporting Elderly People

Yoshihara

Tang

Kubota

2013

2013 Second International Conference on Robot, Vision and Signal Processing

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This paper proposes human behavior perception compound between passive perception and active perception. Human behavior is stored in a database for creating the life log to realize visualization system for supporting elderly people using iPad. First, we discuss the life log system configuration based on informationally structured space. We apply sensor network and smart phone for measuring human behavior to realize passive perception, and we also apply conversation system for conducting communication between robot partner and human to realize active perception. Next, we explain the database system that constructs informationally structured space. The cloud database is used to share the elderly people's life log information with the elderly people's family and caregivers through the visualization system. Finally, we discuss the usability of the Visualization System through experimental results.

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Advances in Knowledge-Based Information Systems

Tweedale

Jain

2015

Knowledge-Based Information Systems in Practice

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Extraction of Daily Life Log Measured by Smart Phone Sensors Using Neural Computing

Cited by 12 publications

References 11 publications

Supervised Learning-based Multi-Modal Perception for Robot Partners using Smart Phones

Supervised Learning-based Multi-Modal Perception for Robot Partners using Smart Phones

Life Log Visualization System Based on Informationally Structured Space for Supporting Elderly People

Advances in Knowledge-Based Information Systems

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