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Naohisa Nagaya

dblp:93/3156 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2014
0000-0001-6501-4313ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Wearable and physiological sensing · 77% Health and well-being technologies · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wearable and physiological sensing › gait analysis
gait phase detection
0.212014
A precise gait phase detection based on high-frequency vibration on lower limbs · ICRA 2014

Methods — techniques the papers use, named apart from their topics

vibration analysis · 0.2piezo film sensing · 0.2
YearPublicationVenuePosition
2014 A precise gait phase detection based on high-frequency vibration on lower limbs
abstract
A novel gait phase detection method that can extract the timing of foot contact conditions (Heel Strike and Toe Off) by a single piezo film sensor attached on each leg is proposed. We focused on the occurrence of high-frequency vibrations (> 100 Hz) in the beginning and the end of stance phases during gait. After the features of vibration waveforms during gait were confirmed, we proposed the phase detection method. The optimal parameters were investigated to detect the phases robustly despite the walking speed and the shoe types. Experimental results showed that the detected ground contact events had high accuracy of timing. Finally, we confirmed the feasibility with the prototype wearable device in usual environments.
Shuhei Kadoya, Naohisa Nagaya, Masashi Konyo, Satoshi Tadokoro
ICRA2
2013 Haptic cue of forces on tools: Investigation of multi-point cutaneous activity on skin using suction pressure stimuli
abstract
This paper presents an initial data that could show a possible contribution of mechanoreceptor activity to the perception of forces applied on grasped objects. Here, we obtained detailed psychophysical characteristics of perceived force-magnitude in multiple degrees of freedom (MDOF) using multi-point suction pressure stimuli. To obtain such data, we developed a multi-point stimulation method that can represent MDOF perceived force on a tool. We characterized the perceived force response of human subjects to suction pressure stimuli through psychophysical experiments. Moreover, we analyzed the strain energy density (SED) on the finger pads considering the force applied through finite element simulation. The results of the psychophysical experiments showed that multi-point stimulation method is effective for evoking MDOF perceived force on a tool. Interestingly, we found that the results of the finite element analysis agree with those of the psychophysical data. Therefore, we have verified that it is possible to use multi-point suction pressure stimulation for representing perceived force on objects held in a hand. In addition, a preliminary insight into the role of SED for perceiving force on tools is provided.
Lope Ben Porquis, Daiki Maemori, Naohisa Nagaya, Masashi Konyo, Satoshi Tadokoro
IROS3