Simulation of Complex Movement Sequences in the Product Development of a Car Manufacturer

Short article: Effects of interlimb practice on coding and learning of movement sequences

Quarterly Journal of Experimental Psychology ◽

10.1080/17470210802671370 ◽

2009 ◽

Vol 62 (7) ◽

pp. 1265-1276 ◽

Cited By ~ 17

Author(s):

Stefan Panzer ◽

Thomas Muehlbauer ◽

Melanie Krueger ◽

Dirk Buesch ◽

Falk Naundorf ◽

...

Keyword(s):

Dominant Role ◽

Short Article ◽

Independent Manner ◽

Contralateral Limb ◽

Activation Patterns ◽

Movement Sequences ◽

Visual Spatial ◽

Spatial Coordinates ◽

Element Movement ◽

Complex Movement

An interlimb practice paradigm was designed to determine the role that visual–spatial (Cartesian) and motor (joint angles, activation patterns) coordinates play in the coding and learning of complex movement sequences. Participants practised a 16-element movement sequence by moving a lever to sequentially presented targets with one limb on Day 1 and the contralateral limb on Day 2. Practice involved the same sequence with either the same visual–spatial or motor coordinates on the two days. A unilateral practice condition (control) was also tested where both coordinate systems were changed but the same limb was used. Retention tests were conducted on Day 3. Regardless of the order in which the limbs were used during practice, results indicated that keeping the visual–spatial coordinates the same during acquisition resulted in superior retention. This provides strong evidence that the visual–spatial code plays a dominant role in complex movement sequences, and this code is represented in an effector-independent manner.

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ON THE REPRESENTATION, LEARNING AND TRANSFER OF SPATIO-TEMPORAL MOVEMENT CHARACTERISTICS

International Journal of Humanoid Robotics ◽

10.1142/s0219843604000320 ◽

2004 ◽

Vol 01 (04) ◽

pp. 613-636 ◽

Cited By ~ 33

Author(s):

WINFRIED ILG ◽

GÖKHAN H. BAKIR ◽

JOHANNES MEZGER ◽

MARTIN A. GIESE

Keyword(s):

Representation Learning ◽

Movement Sequences ◽

Movement Trajectories ◽

Movement Characteristics ◽

Human Movements ◽

Complex Sequences ◽

Movement Representation ◽

Spatio Temporal ◽

Morphable Models ◽

Complex Movement

In this paper we present a learning-based approach for the modeling of complex movement sequences. Based on the method of Spatio-Temporal Morphable Models (STMMs) we derive a hierarchical algorithm that, in a first step, identifies automatically movement elements in movement sequences based on a coarse spatio-temporal description, and in a second step models these movement primitives by approximation through linear combinations of learned example movement trajectories. We describe the different steps of the algorithm and show how it can be applied for modeling and synthesis of complex sequences of human movements that contain movement elements with a variable style. The proposed method is demonstrated on different applications of movement representation relevant for imitation learning of movement styles in humanoid robotics.

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Age-related effects in interlimb practice on coding complex movement sequences

Human Movement Science ◽

10.1016/j.humov.2010.11.003 ◽

2011 ◽

Vol 30 (3) ◽

pp. 459-474 ◽

Cited By ~ 17

Author(s):

Stefan Panzer ◽

Nicole Gruetzmacher ◽

Udo Fries ◽

Melanie Krueger ◽

Charles H. Shea

Keyword(s):

Movement Sequences ◽

Age Related ◽

Complex Movement

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Basal ganglia neural mechanisms of natural movement sequences

Canadian Journal of Physiology and Pharmacology ◽

10.1139/y04-061 ◽

2004 ◽

Vol 82 (8-9) ◽

pp. 732-739 ◽

Cited By ~ 55

Author(s):

J Wayne Aldridge ◽

Kent C Berridge ◽

Alyssa R Rosen

Keyword(s):

Basal Ganglia ◽

Neural Mechanisms ◽

Sequential Patterns ◽

Striatal Neurons ◽

Warm Up ◽

Movement Sequences ◽

Natural Movement ◽

Baseline Levels ◽

Instinctive Behavior ◽

Complex Movement

Natural rodent grooming and other instinctive behavior serves as a natural model of complex movement sequences. Rodent grooming has syntactic (rule-driven) sequences and more random movement patterns. Both incorporate the same movements—only the serial structure differs. Recordings of neural activity in the dorsolateral striatum and the substantia nigra pars reticulata indicate preferential activation during syntactic sequences over more random sequences. Neurons that are responsive during syntactic grooming sequences are often unresponsive or have reverse activation profiles during kinematically similar movements that occur in flexible or random grooming sequences. Few neurons could be categorized as strictly movement related—instead they were activated only in the context of particular sequential patterns of movements. Particular sequential patterns included "syntactic chain" grooming sequences of paw, head, and body movements and also "warm-up" sequences, which consist of head and body/limb movements that precede locomotion after a period of quiet resting (Golani 1992). Activation during warm-up was less intense and less frequent than during grooming sequences, but both sequences activated neurons above baseline levels, and the same neurons sometimes responded to both sequences. The fact that striatal neurons code 2 natural sequences which are made up of different constituent movements suggests that the basal ganglia may have a generalized role in sequence control. The basal ganglia are modulated by the context of the sequence and may play an executive function in the complex natural patterns of sequenced behaviour.Key words: movement, basal ganglia, striatum, movement sequences, sensorimotor behaviour.

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