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Dive into the research topics where Keisuke Shimono is active.

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Featured researches published by Keisuke Shimono.


Sensors | 2016

Effectiveness Testing of a Piezoelectric Energy Harvester for an Automobile Wheel Using Stochastic Resonance

Yunshun Zhang; Rencheng Zheng; Keisuke Shimono; Tsutomu Kaizuka; Kimihiko Nakano

The collection of clean power from ambient vibrations is considered a promising method for energy harvesting. For the case of wheel rotation, the present study investigates the effectiveness of a piezoelectric energy harvester, with the application of stochastic resonance to optimize the efficiency of energy harvesting. It is hypothesized that when the wheel rotates at variable speeds, the energy harvester is subjected to on-road noise as ambient excitations and a tangentially acting gravity force as a periodic modulation force, which can stimulate stochastic resonance. The energy harvester was miniaturized with a bistable cantilever structure, and the on-road noise was measured for the implementation of a vibrator in an experimental setting. A validation experiment revealed that the harvesting system was optimized to capture power that was approximately 12 times that captured under only on-road noise excitation and 50 times that captured under only the periodic gravity force. Moreover, the investigation of up-sweep excitations with increasing rotational frequency confirmed that stochastic resonance is effective in optimizing the performance of the energy harvester, with a certain bandwidth of vehicle speeds. An actual-vehicle experiment validates that the prototype harvester using stochastic resonance is capable of improving power generation performance for practical tire application.


IEEE Transactions on Human-Machine Systems | 2017

The Effect of a Haptic Guidance Steering System on Fatigue-Related Driver Behavior

Zheng Wang; Rencheng Zheng; Tsutomu Kaizuka; Keisuke Shimono; Kimihiko Nakano

Prolonged driving on monotonous roads often leads to a reduction in task load that causes drivers passive fatigue. Passive fatigue results in loss of driver alertness and is detrimental to driver safety. This paper focuses on the effect of a haptic guidance steering system on improving behaviors of passively fatigued drivers. By continuously exerting active torque on a steering wheel, the haptic system guides drivers to follow the centerline of a lane; meanwhile, the drivers sense the torque and interact with it while operating the steering wheel. An experiment was conducted with 12 healthy participants in a high-fidelity driving simulator. A monotonous driving course was designed, and vehicle speed was fixed in order to induce drivers’ passive fatigue. A treatment session was arranged with the haptic guidance steering system, and a control session was conducted as a comparison. Driving performance, assessed by standard deviation of lane position, mean absolute lateral error, and time-to-lane crossing, was significantly improved when haptic guidance was activated. Results of physiological measures, including heart rate variability and percentage of eye closure, revealed that passively fatigued drivers were aroused when they were aware of the active torque on the steering wheel. In conclusion, the activation of haptic guidance can be regarded as an effective countermeasure for the passively fatigued drivers who have performed a prolonged monotonous driving task.


International Journal of Intelligent Transportation Systems Research | 2018

Influence of Haptic Guidance on Arm Admittance of Driversunder Steering Perturbations

Antonin Joly; Keisuke Shimono; Rencheng Zheng; Tsutomu Kaizuka; Kimihiko Nakano

Recently, haptic guidance technologies have been proposed to enhance driving safety. This study concentrates on the influence of haptic guidance on driving behaviours estimated using mechanical arm admittance, while facing critical driving situation. We constructed an adaptable haptic guidance model, which can assist a driver to follow an ideal trajectory, with real-time steering feedback based on the monitoring of the lateral position and the yaw angle of the vehicle. In a driving simulator experiment, fourteen participants experienced seven designs of the haptic guidance model under three different amplitudes of steering perturbations. For high steering perturbation amplitudes, haptic guidance was effective in increasing arm stiffness leading to an improvement of the steering stability. For low steering perturbation amplitudes, arm stiffness was decreased by haptic guidance but the trajectory stability was enhanced.


Iet Intelligent Transport Systems | 2017

Evaluation of the effects of in-vehicle traffic lights on driving performances for unsignalised intersections

Bo Yang; Rencheng Zheng; Keisuke Shimono; Tsutomu Kaizuka; Kimihiko Nakano


Transportation Research Board 96th Annual MeetingTransportation Research Board | 2017

Calibration of a Social Force-based Shared Space Model for Personal Mobility Vehicle and Pedestrian Mixed Traffic

Charitha Dias; Miho Iryo-Asano; Keisuke Shimono; Kimihiko Nakano


SEISAN KENKYU | 2017

Experimental Analysis of Segway Rider Behavior under Mixed Traffic Conditions

Charitha Dias; Miho Iryo; Keisuke Shimono; Kimihiko Nakano


SEISAN KENKYU | 2016

Experimental Analysis of Personal Mobility Maneuver Reacting to Pedestrians and Cyclists

Miho Iryo; Charitha Dias; Hironori Kato; Keisuke Shimono; Kimihiko Nakano


systems, man and cybernetics | 2016

Evaluation of driver steering performance with haptic guidance under passive fatigued situation

Zheng Wang; Tsutomu Kaizuka; Kimihiko Nakano; Rencheng Zheng; Keisuke Shimono


The Proceedings of the Dynamics & Design Conference | 2016

Road Profile Estimation from Accelerometers on vehicle body by Independent Component Analysis Considering Nominal Dynamics

Keisuke Shimono; Tsutomu Kaizuka; Kimihiko Nakano; Eiji Sakai; Michiyoshi Kono


The Proceedings of the Transportation and Logistics Conference | 2015

2402 Evaluation of Influences of Ruts on Driving Behaviors Using Electromyography Signals

Chang Liu; Keisuke Shimono; Tsutomu Kaizuka; Rencheng Zheng; Kimihiko Nakano

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Tsutomu Kaizuka

Tokyo Metropolitan University

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